Academic Journal
Flight Phase-Based Analysis of Electrical Load and Generator Performance in Boeing 737-500 Using Flight Test Data.
| Τίτλος: | Flight Phase-Based Analysis of Electrical Load and Generator Performance in Boeing 737-500 Using Flight Test Data. |
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| Συγγραφείς: | Putranto, Andy Marjono (AUTHOR) andi.putranto@tp.idu.ac.id, Aritonang, Sovian (AUTHOR), Gani, Erzi Agson (AUTHOR), Akbar, Lalu Aan Sasaka (AUTHOR), Widuri, Ani (AUTHOR) |
| Πηγή: | Indonesian Journal of Advanced Research (IJAR). May2026, Vol. 5 Issue 5, p599-616. 18p. |
| Θεματικοί όροι: | *Electrical load, *Electric generators, *Condition-based maintenance, *Boeing 737 (Jet transport), *Flight testing, *Aeronautics equipment |
| Περίληψη: | This study analyzes electrical load behavior and engine-driven generator performance on the Boeing 737-500 using real flight test data across all flight phases, including taxi, takeoff, climb, cruise, descent, approach, and landing. The analysis is based on operational parameters such as altitude, airspeed, N1, N2, EGT, fuel flow, oil pressure, oil temperature, and vibration. Results show that the highest electrical loads occur during takeoff and climb due to anti-ice operation, bleed air demand, and maximum thrust settings, while the cruise phase at FL350 provides the most stable operating condition with balanced load distribution and minimal frequency fluctuation. Moderate load changes occur during descent as system configurations transition. Overall, generator performance remains stable throughout all flight phases without imbalance or frequency deviation. Unlike previous simulation-based studies, this research provides empirical evidence from actual aircraft operations, contributing to condition-based maintenance development and aircraft electrical system monitoring frameworks. [ABSTRACT FROM AUTHOR] |
| Βάση Δεδομένων: | Academic Search Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: asx DbLabel: Academic Search Index An: 194135053 RelevancyScore: 1431 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1430.76245117188 |
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| Items | – Name: Title Label: Title Group: Ti Data: Flight Phase-Based Analysis of Electrical Load and Generator Performance in Boeing 737-500 Using Flight Test Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Putranto%2C+Andy+Marjono%22">Putranto, Andy Marjono</searchLink> (AUTHOR)<i> andi.putranto@tp.idu.ac.id</i><br /><searchLink fieldCode="AR" term="%22Aritonang%2C+Sovian%22">Aritonang, Sovian</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gani%2C+Erzi+Agson%22">Gani, Erzi Agson</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Akbar%2C+Lalu+Aan+Sasaka%22">Akbar, Lalu Aan Sasaka</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Widuri%2C+Ani%22">Widuri, Ani</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Indonesian+Journal+of+Advanced+Research+%28IJAR%29%22">Indonesian Journal of Advanced Research (IJAR)</searchLink>. May2026, Vol. 5 Issue 5, p599-616. 18p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Electrical+load%22">Electrical load</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+generators%22">Electric generators</searchLink><br />*<searchLink fieldCode="DE" term="%22Condition-based+maintenance%22">Condition-based maintenance</searchLink><br />*<searchLink fieldCode="DE" term="%22Boeing+737+%28Jet+transport%29%22">Boeing 737 (Jet transport)</searchLink><br />*<searchLink fieldCode="DE" term="%22Flight+testing%22">Flight testing</searchLink><br />*<searchLink fieldCode="DE" term="%22Aeronautics+equipment%22">Aeronautics equipment</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study analyzes electrical load behavior and engine-driven generator performance on the Boeing 737-500 using real flight test data across all flight phases, including taxi, takeoff, climb, cruise, descent, approach, and landing. The analysis is based on operational parameters such as altitude, airspeed, N1, N2, EGT, fuel flow, oil pressure, oil temperature, and vibration. Results show that the highest electrical loads occur during takeoff and climb due to anti-ice operation, bleed air demand, and maximum thrust settings, while the cruise phase at FL350 provides the most stable operating condition with balanced load distribution and minimal frequency fluctuation. Moderate load changes occur during descent as system configurations transition. Overall, generator performance remains stable throughout all flight phases without imbalance or frequency deviation. Unlike previous simulation-based studies, this research provides empirical evidence from actual aircraft operations, contributing to condition-based maintenance development and aircraft electrical system monitoring frameworks. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.55927/ijar.v5i5.16528 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 599 Subjects: – SubjectFull: Electrical load Type: general – SubjectFull: Electric generators Type: general – SubjectFull: Condition-based maintenance Type: general – SubjectFull: Boeing 737 (Jet transport) Type: general – SubjectFull: Flight testing Type: general – SubjectFull: Aeronautics equipment Type: general Titles: – TitleFull: Flight Phase-Based Analysis of Electrical Load and Generator Performance in Boeing 737-500 Using Flight Test Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Putranto, Andy Marjono – PersonEntity: Name: NameFull: Aritonang, Sovian – PersonEntity: Name: NameFull: Gani, Erzi Agson – PersonEntity: Name: NameFull: Akbar, Lalu Aan Sasaka – PersonEntity: Name: NameFull: Widuri, Ani IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 29860768 Numbering: – Type: volume Value: 5 – Type: issue Value: 5 Titles: – TitleFull: Indonesian Journal of Advanced Research (IJAR) Type: main |
| ResultId | 1 |