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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJMAE</journal-id>
<journal-title-group><journal-title>International Journal of Mechanical and Aerospace Engineering</journal-title></journal-title-group>
<publisher><publisher-name>Thomson &amp; Ryberg Publications</publisher-name></publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.62715/ijmae.2026.v1.i1.pp24-29</article-id>
<article-id pub-id-type="publisher-id">a66b887c5b</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Methodology Article</subject></subj-group></article-categories>
<title-group><article-title>Planning Structural Health Monitoring Retrofits for an Ageing Regional Turboprop Fleet: A Proposed Framework</article-title></title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Costa</surname><given-names>Folake</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1">*</xref></contrib>
<contrib contrib-type="author"><name><surname>Ristic</surname><given-names>Lan</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Al-Rashid</surname><given-names>Kwame</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<aff id="aff1"><label>1</label>Department of Engineering, Lapland Center for Engineering, Denmark</aff>
<aff id="aff2"><label>2</label>Department of Engineering, Baikal Center for Engineering, Lebanon</aff>
<aff id="aff3"><label>3</label>Department of Engineering, Nile Delta Institute for Advanced Engineering, Barbados</aff>
</contrib-group>
<author-notes><corresp id="cor1">* Correspondence: <email>folake.costa@lapland.edu</email></corresp></author-notes>
<pub-date pub-type="epub" iso-8601-date="2026-08-05"><day>05</day><month>08</month><year>2026</year></pub-date>
<volume>1</volume>
<issue>1</issue>
<fpage>24</fpage>
<lpage>29</lpage>
<history>
<date date-type="received" iso-8601-date="2026-04-18"><day>18</day><month>04</month><year>2026</year></date>
<date date-type="accepted" iso-8601-date="2026-06-06"><day>06</day><month>06</month><year>2026</year></date>
</history>
<permissions><copyright-statement>© 2026 The Author(s)</copyright-statement><copyright-year>2026</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).</license-p></license></permissions>
<self-uri xlink:href="https://trpub.org/article.php?id=a66b887c5b"/>
<abstract><p>Regional turboprops fly short sectors, accumulate pressurisation and landing cycles quickly and often stay in service well beyond their original design goals. Their structural inspection programmes grow heavier with age, and many of the added tasks concern locations that are slow and costly to reach. Structural health monitoring, in which permanently installed sensors report on a location without disassembly, is a plausible way to relieve that burden, but an operator considering a retrofit has little published guidance on how to plan one. This article proposes a framework in eight steps: establish the regulatory basis and the objective, select candidate locations from the maintenance record, match a sensing technology to each damage mode, design and qualify the installation, demonstrate detection capability, agree the route to maintenance credit, run a parallel trial on part of the fleet, and review before wider adoption. For each step the article states the purpose, the evidence to be produced and the pitfalls identified in the literature. The framework draws on published guidance, standards and research on sensing and damage tolerance. It is a proposal. It has not been applied to a fleet or validated here, no operator data are reported, and the article identifies what a first application would need to demonstrate.</p></abstract>
<kwd-group kwd-group-type="author">
<kwd>Structural health monitoring</kwd>
<kwd>Ageing aircraft</kwd>
<kwd>Regional turboprop</kwd>
<kwd>Damage tolerance</kwd>
<kwd>Probability of detection</kwd>
<kwd>Maintenance planning</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="sec1"><title>1. Introduction</title>
<p>An airliner structure is certified on the principle of damage tolerance: cracks and corrosion are assumed to occur, and inspections are scheduled so that damage is found before it reduces strength below the required level (Swift, 1994; FAA, 2011). As an aircraft ages, the inspection programme expands. Supplemental structural inspections, corrosion prevention and control tasks, repair assessments and measures against widespread fatigue damage are layered onto the original schedule. The regulatory attention given to these matters dates largely from the Aloha Airlines accident of 1988, in which a section of upper fuselage skin separated in flight after multiple-site fatigue cracking in a lap joint of a high-cycle aircraft went undetected (NTSB, 1989).</p>
<p>Regional turboprops are exposed to the same ageing mechanisms and have some unfavourable characteristics of their own. Sectors are short, so each flight hour brings more pressurisation cycles and landings than on a long-haul type. Propeller wake and blade-passage vibration load the fuselage near the propeller plane and the nacelle attachments. Many operate from humid, coastal or unpaved airfields. Fleets are small, margins are thin, and time on the ground for access-heavy inspections is felt directly.</p>
<p>Structural health monitoring (SHM) offers to replace or supplement some of those inspections with permanently installed sensors (Farrar and Worden, 2007). The technology has been studied for decades, yet few operators have a method for deciding where, how and whether to retrofit it. This article proposes one. It does not report a retrofit that has been carried out; it sets out a planning framework assembled from the published literature and guidance.</p>
</sec>
<sec id="sec2"><title>2. Background</title>
<p>SHM is commonly described as a hierarchy of questions: whether damage is present, where it is, how severe it is and how much life remains, the scheme introduced by Rytter (1993). Most practical aircraft applications aim at the first two levels for a known location and damage type, which is a far more tractable problem than surveying a whole airframe for unknown damage. The fundamental axioms set out by Worden et al. (2007) are a useful discipline here: sensors do not measure damage, they measure a response from which damage must be inferred; inference requires comparison with a baseline; and environmental and operational variation can mask or mimic the change being sought.</p>
<p>Guidance for aircraft exists. SAE International (2013) published recommended practice for implementing SHM on fixed-wing aircraft, covering requirements, validation and certification considerations, and scheduled SHM, in which installed sensors are read at a fixed interval in place of a conventional inspection task, has been introduced as a concept into the industry method for developing maintenance programmes. The sensing technologies themselves are well documented in reference works (Boller et al., 2009). What is missing for the small operator is a sequence that connects these sources to a fleet decision.</p>
</sec>
<sec id="sec3"><title>3. The Proposed Framework</title>
<p>The framework has eight steps. They are written for an operator working with the type certificate holder or an approved design organisation, since a retrofit changes both the aircraft configuration and its maintenance programme and cannot be approved by the operator alone.</p>
<sec id="sec3-2"><title>3.1. Step 1: Fix the objective and the regulatory basis</title>
<p>The first decision is what the system is for. A sensor may be intended to replace a scheduled inspection, to extend its interval, or only to gather information alongside it. The three carry very different burdens of proof. The operator should state the objective for each location and open discussion with the authority and the design approval holder before hardware is selected, using the SAE guidance as a common vocabulary (SAE International, 2013).</p>
</sec>
<sec id="sec3-3"><title>3.2. Step 2: Select candidate locations from the maintenance record</title>
<p>Candidates are found in the operator&#x27;s own programme, not in a catalogue of sensors. The useful locations are those where a known damage mode recurs at a defined place, where the present inspection needs substantial access work such as removal of interiors, fuel tank entry or jacking, and where the task repeats often. Typical examples on a pressurised turboprop are fuselage frames and stringer attachments in the propeller plane, pressure bulkhead attachments, wing-to-fuselage fittings, nacelle and engine mount structure, and bonded or riveted repairs under observation. Locations with diffuse or unpredictable damage are poor candidates for point sensors and are better left to conventional inspection.</p>
<p>For each candidate the operator should assemble a short dossier: the task card and its interval, the access steps and their labour, the findings history across the fleet, the damage mode and its expected direction of growth, and any repairs already embodied. The findings history deserves particular care. A location that has never produced a finding offers no evidence about how damage presents there, and a location with frequent findings may be better served by a modification than by a sensor. The dossier also fixes the geometry that the sensor must fit, including sealant fillets, fastener heads and neighbouring systems, which often decides what can be bonded where.</p>
</sec>
<sec id="sec3-4"><title>3.3. Step 3: Match the sensing technology to the damage mode</title>
<p>No sensor suits every task. Table 1 compares the main options. Comparative vacuum monitoring detects a surface crack when it breaches a fine evacuated gallery bonded to the structure, and has been the subject of airline validation programmes for specific fittings (Roach, 2009). Piezoelectric wafers excite and receive guided ultrasonic waves that can interrogate an area of plate or a bonded joint from a few fixed points (Giurgiutiu, 2014; Raghavan and Cesnik, 2007), and are attractive for composites, where the damage of concern is delamination (Su et al., 2006). Fibre Bragg gratings measure strain at many points along one fibre and suit load and usage monitoring (Di Sante, 2015). Usage monitoring from strain or flight parameters does not detect damage at all; it refines the fatigue calculation, an approach with long standing in military fleets (Molent and Aktepe, 2000).</p>
<table-wrap id="tbl1"><label>Table 1</label><caption><p>Sensing options for a retrofit, the damage each addresses and the main practical limits</p></caption><table frame="hsides" rules="groups"><thead><tr><th>Technology</th><th>Detects</th><th>Coverage</th><th>Main limits</th></tr></thead><tbody><tr><td>Comparative vacuum monitoring</td><td>Surface-breaking cracks</td><td>Local</td><td>Crack must pass under the sensor; bond integrity</td></tr><tr><td>Piezoelectric guided waves</td><td>Cracks, disbonds, delamination</td><td>Area</td><td>Temperature and load effects on baseline; complex geometry</td></tr><tr><td>Fibre Bragg gratings</td><td>Strain and load history</td><td>Distributed points</td><td>Indirect for damage; fibre routing and connectors</td></tr><tr><td>Acoustic emission</td><td>Active crack growth, impact</td><td>Area</td><td>Noise in service; needs loading to hear</td></tr><tr><td>Eddy current foil sensors</td><td>Cracks at fasteners and under layers</td><td>Local</td><td>Proximity to crack; lift-off and wiring</td></tr><tr><td>Humidity and corrosion sensors</td><td>Corrosive environment</td><td>Local</td><td>Indicates conditions, not material loss</td></tr></tbody></table></table-wrap>
</sec>
<sec id="sec3-5"><title>3.4. Step 4: Design and qualify the installation</title>
<p>A sensor on an aircraft is airborne equipment. Its adhesive, wiring, connectors and any on-board electronics must survive temperature cycling, vibration, fluids and humidity, and must not themselves create a hazard or initiate corrosion or fatigue at the point of attachment. The established environmental test standard for airborne equipment applies (RTCA, 2010). Durability of the bond is critical, because a sensor that detaches gives either a false alarm or, worse, silence. Self-diagnosis of the sensor and its bond should be a design requirement. The architecture should be decided in layers, as shown in Figure 1, and for a small fleet the lightest option is usually sensors and wiring terminated at an accessible connector that is interrogated on the ground with a portable unit.</p>
<fig id="fig1"><label>Figure 1</label><caption><p>Layers of a retrofitted structural health monitoring system, from the structure to the maintenance programme</p></caption><graphic xlink:href="IJMAE_V1I1_2026_05_Figure1.png" mimetype="image" mime-subtype="png"/></fig>
</sec>
<sec id="sec3-6"><title>3.5. Step 5: Demonstrate detection capability</title>
<p>Credit for an inspection rests on a demonstrated probability of detection for a given crack size. For conventional non-destructive inspection the procedure is codified (DoD, 2009), and it assumes many independent inspections of many flaws by different inspectors. A fixed sensor differs in ways that matter statistically. It occupies one position relative to the flaw, its readings over time are correlated, and variability comes from installation, ageing and environment and not from the human operator. The plan should therefore specify coupon and element tests with representative geometry, sealant, paint and loading, with cracks grown under the sensor, and should state in advance how repeated measurements will be treated. Environmental compensation of the baseline must be shown to work over the temperature and load range expected at the time of reading (Worden et al., 2007).</p>
</sec>
<sec id="sec3-7"><title>3.6. Step 6: Agree the route to maintenance credit</title>
<p>With capability evidence in hand, the operator and design approval holder propose the change to the maintenance programme. The conservative route is scheduled monitoring at the existing interval, with the sensor reading replacing the access and the inspection. Any indication is confirmed by conventional means before a disposition is made. Interval extension or fully automated monitoring should be deferred until service experience exists. The damage tolerance justification must be revisited, since the detectable crack size of the sensor, not that of the inspection it replaces, now sets the starting point of the crack growth calculation (Schijve, 2009).</p>
</sec>
<sec id="sec3-8"><title>3.7. Step 7: Run a parallel trial on part of the fleet</title>
<p>Before any task is dropped, the system should be flown on a subset of aircraft while the existing inspections continue unchanged. The trial has three aims: to measure the false-call rate in service, to find installation and durability problems, and to exercise the data path from download to engineering disposition. Aircraft should be chosen to span the fleet&#x27;s age and operating bases. The length of the trial should be fixed in advance in terms of flight cycles and scheduled inspection opportunities, and the criteria for success written down before it begins.</p>
<p>Every disagreement between sensor and inspection during the trial is valuable and should be investigated to a root cause, whether a sensor indication with no crack found or the reverse. Indications without damage usually trace to bond degradation, connector faults or uncompensated temperature, and each cause has a different remedy. Maintenance staff should be trained on the interrogation procedure before the trial starts, so that handling errors are not mistaken for shortcomings of the system.</p>
</sec>
<sec id="sec3-9"><title>3.8. Step 8: Review and decide on wider adoption</title>
<p>The final step compares what the trial showed with the objective of the first step. The technical review asks whether the sensors agreed with the conventional inspections and survived. The economic review sets installation, added weight, data handling and continuing airworthiness of the system against the access hours and downtime saved. The balance depends heavily on how often the replaced task recurs and how much access it needs, and it should not be assumed to be favourable. A location that is inspected rarely, or reached easily, will seldom repay a permanent installation.</p>
</sec>
</sec>
<sec id="sec4"><title>4. Fitting the Framework to a Small Operator</title>
<p>Three adjustments make the framework workable for a regional carrier. Scope should be kept to a handful of locations in the first instance, chosen for the clearest saving. Development and capability testing should be shared, through the type certificate holder or an operator group, because no single small fleet can fund a probability of detection programme. Data handling should be modest: a pass-or-refer indication recorded in the existing maintenance information system is more useful than a stream of waveforms nobody is resourced to interpret. Statistical methods for novelty detection are well developed (Farrar and Worden, 2013), but for a first retrofit a simple threshold with a confirmation inspection is easier to justify and to audit.</p>
</sec>
<sec id="sec5"><title>5. Limitations and What Remains to Be Shown</title>
<p>The framework is a proposal and has not been tested on a fleet. Whether its eight steps are sufficient, and whether their order is the most efficient, can be judged only by applying them. A first application would need to show that the parallel trial yields enough inspection opportunities, on a small fleet and within an acceptable time, to support a decision; that the sensor installations last between heavy checks; and that the saving survives contact with real access times. The framework also assumes cooperation from a design approval holder, which for older types with limited manufacturer support cannot be taken for granted. It addresses metallic and bonded structure with known hot spots, and does not claim to cover impact damage to composite airframes or wholly unanticipated damage.</p>
</sec>
<sec id="sec6"><title>6. Conclusion</title>
<p>A structural health monitoring retrofit is best treated as a change to a maintenance programme that happens to involve sensors, and not as a sensor project in search of a use. The framework proposed here starts from the operator&#x27;s own inspection burden, narrows to locations where a fixed sensor has a clear task, and builds evidence in stages: qualification, detection capability, agreed credit and a parallel trial. Each stage produces a record that the next depends on. Its practical worth for an ageing turboprop fleet remains to be demonstrated by use.</p>
</sec>
<sec id="sec7"><title>Conflict of interest</title>
<p>To be declared by the author(s) before publication.</p>
</sec>
<sec id="sec8"><title>Funding</title>
<p>To be declared by the author(s) before publication.</p>
</sec>
</body>
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<ref-list><title>References</title>
<ref id="ref1"><label>1</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Boller, C., Chang, F.-K. and Fujino, Y. (eds.)</string-name></person-group> (<year>2009</year>). <article-title>Encyclopedia of Structural Health Monitoring</article-title>. <source>John Wiley &amp; Sons, Chichester</source></mixed-citation></ref>
<ref id="ref2"><label>2</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Di Sante, R.</string-name></person-group> (<year>2015</year>). <article-title>Fibre optic sensors for structural health monitoring of aircraft composite structures: Recent advances and applications</article-title>. <source>Sensors</source>, <volume>15(8)</volume>, <fpage>18666-18713</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/s150818666">https://doi.org/10.3390/s150818666</ext-link></mixed-citation></ref>
<ref id="ref3"><label>3</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>DoD</string-name></person-group> (<year>2009</year>). <article-title>MIL-HDBK-1823A: Nondestructive Evaluation System Reliability Assessment</article-title>. <source>United States Department of Defense, Wright-Patterson Air Force Base, OH</source></mixed-citation></ref>
<ref id="ref4"><label>4</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>FAA</string-name></person-group> (<year>2011</year>). <article-title>Advisory Circular 25.571-1D: Damage Tolerance and Fatigue Evaluation of Structure</article-title>. <source>Federal Aviation Administration, Washington, DC</source></mixed-citation></ref>
<ref id="ref5"><label>5</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Farrar, C.R. and Worden, K.</string-name></person-group> (<year>2007</year>). <article-title>An introduction to structural health monitoring</article-title>. <source>Philosophical Transactions of the Royal Society A</source>, <volume>365(1851)</volume>, <fpage>303-315</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1098/rsta.2006.1928">https://doi.org/10.1098/rsta.2006.1928</ext-link></mixed-citation></ref>
<ref id="ref6"><label>6</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Farrar, C.R. and Worden, K.</string-name></person-group> (<year>2013</year>). <article-title>Structural Health Monitoring: A Machine Learning Perspective</article-title>. <source>John Wiley &amp; Sons, Chichester</source></mixed-citation></ref>
<ref id="ref7"><label>7</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Giurgiutiu, V.</string-name></person-group> (<year>2014</year>). <article-title>Structural Health Monitoring with Piezoelectric Wafer Active Sensors, 2nd edition</article-title>. <source>Academic Press, Oxford</source></mixed-citation></ref>
<ref id="ref8"><label>8</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Molent, L. and Aktepe, B.</string-name></person-group> (<year>2000</year>). <article-title>Review of fatigue monitoring of agile military aircraft</article-title>. <source>Fatigue &amp; Fracture of Engineering Materials &amp; Structures</source>, <volume>23(9)</volume>, <fpage>767-785</fpage></mixed-citation></ref>
<ref id="ref9"><label>9</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>NTSB</string-name></person-group> (<year>1989</year>). <article-title>Aircraft Accident Report: Aloha Airlines, Flight 243, Boeing 737-200, N73711, near Maui, Hawaii, April 28, 1988</article-title>. <source>Report NTSB/AAR-89/03, National Transportation Safety Board, Washington, DC</source></mixed-citation></ref>
<ref id="ref10"><label>10</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Raghavan, A. and Cesnik, C.E.S.</string-name></person-group> (<year>2007</year>). <article-title>Review of guided-wave structural health monitoring</article-title>. <source>The Shock and Vibration Digest</source>, <volume>39(2)</volume>, <fpage>91-114</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1177/0583102406075428">https://doi.org/10.1177/0583102406075428</ext-link></mixed-citation></ref>
<ref id="ref11"><label>11</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Roach, D.</string-name></person-group> (<year>2009</year>). <article-title>Real time crack detection using mountable comparative vacuum monitoring sensors</article-title>. <source>Smart Structures and Systems</source>, <volume>5(4)</volume>, <fpage>317-328</fpage></mixed-citation></ref>
<ref id="ref12"><label>12</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>RTCA</string-name></person-group> (<year>2010</year>). <article-title>DO-160G: Environmental Conditions and Test Procedures for Airborne Equipment</article-title>. <source>RTCA, Inc., Washington, DC</source></mixed-citation></ref>
<ref id="ref13"><label>13</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Rytter, A.</string-name></person-group> (<year>1993</year>). <article-title>Vibrational Based Inspection of Civil Engineering Structures</article-title>. <source>PhD thesis, Department of Building Technology and Structural Engineering, Aalborg University, Aalborg</source></mixed-citation></ref>
<ref id="ref14"><label>14</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>SAE International</string-name></person-group> (<year>2013</year>). <article-title>ARP6461: Guidelines for Implementation of Structural Health Monitoring on Fixed Wing Aircraft</article-title>. <source>SAE International, Warrendale, PA</source></mixed-citation></ref>
<ref id="ref15"><label>15</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Schijve, J.</string-name></person-group> (<year>2009</year>). <article-title>Fatigue of Structures and Materials, 2nd edition</article-title>. <source>Springer, Dordrecht</source></mixed-citation></ref>
<ref id="ref16"><label>16</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Su, Z., Ye, L. and Lu, Y.</string-name></person-group> (<year>2006</year>). <article-title>Guided Lamb waves for identification of damage in composite structures: A review</article-title>. <source>Journal of Sound and Vibration</source>, <volume>295(3-5)</volume>, <fpage>753-780</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jsv.2006.01.020">https://doi.org/10.1016/j.jsv.2006.01.020</ext-link></mixed-citation></ref>
<ref id="ref17"><label>17</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Swift, T.</string-name></person-group> (<year>1994</year>). <article-title>Damage tolerance capability</article-title>. <source>International Journal of Fatigue</source>, <volume>16(1)</volume>, <fpage>75-94</fpage></mixed-citation></ref>
<ref id="ref18"><label>18</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Worden, K., Farrar, C.R., Manson, G. and Park, G.</string-name></person-group> (<year>2007</year>). <article-title>The fundamental axioms of structural health monitoring</article-title>. <source>Proceedings of the Royal Society A</source>, <volume>463(2082)</volume>, <fpage>1639-1664</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1098/rspa.2007.1834">https://doi.org/10.1098/rspa.2007.1834</ext-link></mixed-citation></ref>
</ref-list>
</back>
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