Novel Fault Diagnosis Technology Based on Integrated Spectral Kurtosis for Gearboxes

This paper proposes a novel integrated spectral kurtosis (ISK) technology, which is a new conceptualization for fault diagnosis, and compares it with conventional spectral kurtosis technology. The vibration signals from a gearbox are processed by time synchronous averaging (TSA) and analysed using the spectral kurtosis (SK). The ISK feature is estimated across the entire frequency domain, while the envelope is obtained through SK-based filtering and a Hilbert demodulation. The ISK technology demonstrates the ability to distinguish between healthy and defected gearbox cases, achieving a total probability of correct diagnosis (TPCD) of 91.5% for pinions and 96.1% for gears, whereas the SK-based squared envelope technology provides a limited diagnosis effectiveness, with a maximum TPCD of 80%. The motor current signals are also analysed through harmonic amplitude tracking within the current spectrum. A comparison of the ISK and motor current technologies is also made, showing that the motor current technology reaches a maximum of 90% TPCD for gears, which remains lower than the TPCD for the ISK technology.

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Journal
Sensors
Published
2026-04-01
DOI
https://doi.org/10.3390/s26072185
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
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article

Novel Fault Diagnosis Technology Based on Integrated Spectral Kurtosis for Gearboxes

Rami Kerrouche, Len Gelman, Abdulmumeen Onimisi Abdullahi
Sensors
Machine Fault Diagnosis Techniques
article

Novel Fault Diagnosis Technology Based on Integrated Spectral Kurtosis for Gearboxes

Rami Kerrouche, Len Gelman, Abdulmumeen Onimisi Abdullahi
article en

Abstract

This paper proposes a novel integrated spectral kurtosis (ISK) technology, which is a new conceptualization for fault diagnosis, and compares it with conventional spectral kurtosis technology. The vibration signals from a gearbox are processed by time synchronous averaging (TSA) and analysed using the spectral kurtosis (SK). The ISK feature is estimated across the entire frequency domain, while the envelope is obtained through SK-based filtering and a Hilbert demodulation. The ISK technology demonstrates the ability to distinguish between healthy and defected gearbox cases, achieving a total probability of correct diagnosis (TPCD) of 91.5% for pinions and 96.1% for gears, whereas the SK-based squared envelope technology provides a limited diagnosis effectiveness, with a maximum TPCD of 80%. The motor current signals are also analysed through harmonic amplitude tracking within the current spectrum. A comparison of the ISK and motor current technologies is also made, showing that the motor current technology reaches a maximum of 90% TPCD for gears, which remains lower than the TPCD for the ISK technology.

SensorsVol. 26(7)
University of Huddersfield (GB)
Openalex Percentile: Top 33%
Machine Fault Diagnosis Techniques
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Novel Fault Diagnosis Technology Based on Integrated Spectral Kurtosis for Gearboxes — Rami Kerrouche, Len Gelman, et al. · Sensors (2026) | TGRS Research Map | TGRS