Evidence Chain Selection and Cross-Domain Physical Context of a Durability-Sensitive Vibration Feature During a 300 h Diesel Engine Endurance Test

Long-duration diesel engine condition monitoring requires vibration descriptors that remain comparable over time despite path-dependent structural responses and physical measurements acquired on different schedules. A methodological need therefore remains for transparent multi-location screening followed by retention of one unchanged descriptor across a complete endurance sequence. This study develops an evidence chain workflow using a 300 h WP4.6 whole-engine endurance test at 2100 r/min and 600 N·m. In a representative synchronized record, cylinder pressure and nine vibration channels were sampled at 200 kHz, while complete eleven-node longitudinal histories were available only for liner X/Y/Z. After operating boundary and record integrity checks, multi-domain screening selected cylinder-2 Liner-Y 3–7 kHz integrated band power and retained this definition unchanged across all endurance nodes. The descriptor increased overall from 78.57 to 613.68 a.u.2 (R2=0.827; Spearman ρ=0.936) but remained non-monotonic, including a 40.0% decrease from 180 to 210 h. Mean cumulative bearing shell loss progressed from 3.126 to 6.590 and 10.776 mg at 100, 200, and 300 h, while post-test liner geometry showed a self-referenced circumferential-mean peak of 12.17 μm and maximum ovality of 26.67 μm. These non-equivalent physical measurements provide complementary context rather than synchronized wear labels. The workflow therefore supports auditable long-duration response screening and inspection prioritization for the present engine–sensor configuration, without establishing calibrated wear prediction or universal transferability of the selected channel or frequency band.

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Publication Details

Journal
Applied Sciences
Published
2026-09-29
DOI
https://doi.org/10.3390/app16199682
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
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article

Evidence Chain Selection and Cross-Domain Physical Context of a Durability-Sensitive Vibration Feature During a 300 h Diesel Engine Endurance Test

Haiyong Peng, Hanwen Ma
Applied Sciences
Machine Fault Diagnosis Techniques
article

Evidence Chain Selection and Cross-Domain Physical Context of a Durability-Sensitive Vibration Feature During a 300 h Diesel Engine Endurance Test

Haiyong Peng, Hanwen Ma
article en

Abstract

Long-duration diesel engine condition monitoring requires vibration descriptors that remain comparable over time despite path-dependent structural responses and physical measurements acquired on different schedules. A methodological need therefore remains for transparent multi-location screening followed by retention of one unchanged descriptor across a complete endurance sequence. This study develops an evidence chain workflow using a 300 h WP4.6 whole-engine endurance test at 2100 r/min and 600 N·m. In a representative synchronized record, cylinder pressure and nine vibration channels were sampled at 200 kHz, while complete eleven-node longitudinal histories were available only for liner X/Y/Z. After operating boundary and record integrity checks, multi-domain screening selected cylinder-2 Liner-Y 3–7 kHz integrated band power and retained this definition unchanged across all endurance nodes. The descriptor increased overall from 78.57 to 613.68 a.u.2 (R2=0.827; Spearman ρ=0.936) but remained non-monotonic, including a 40.0% decrease from 180 to 210 h. Mean cumulative bearing shell loss progressed from 3.126 to 6.590 and 10.776 mg at 100, 200, and 300 h, while post-test liner geometry showed a self-referenced circumferential-mean peak of 12.17 μm and maximum ovality of 26.67 μm. These non-equivalent physical measurements provide complementary context rather than synchronized wear labels. The workflow therefore supports auditable long-duration response screening and inspection prioritization for the present engine–sensor configuration, without establishing calibrated wear prediction or universal transferability of the selected channel or frequency band.

Applied SciencesVol. 16(19)
Shanghai University of Engineering Science (CN)
Affordable and clean energy
Openalex Percentile: Top 16%
Machine Fault Diagnosis Techniques
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