RESEARCH PAPER
LSESgram: A novel approach for optimal demodulation band selection in rolling bearing fault diagnosis
1
Beijing University of Technology, China
Submission date: 2025-02-24
Final revision date: 2025-06-17
Acceptance date: 2025-07-11
Online publication date: 2025-07-17
Publication date: 2025-07-17
Eksploatacja i Niezawodność – Maintenance and Reliability 2026;28(1):208154
HIGHLIGHTS
- This paper proposes LSESgram for optimal frequency modulation band selection.
- LSESgram is robust to noise and interference,which struggle under noisy conditions.
- LSESgram validated via simulations,experiments, beats Fast Kurtogram, Infogram, Autogram.
KEYWORDS
TOPICS
ABSTRACT
Envelope demodulation has become a key technique in rolling bearing fault diagnosis. However, selecting the optimal frequency modulation band that captures rich fault information remains a challenge, especially in the presence of low signal-to-noise ratios, accidental pulses, and irrelevant harmonics. This paper presents a novel approach, LSESgram, for optimal frequency modulation band selection. Unlike existing methods such as Spectral Kurtosis and Kurtogram, which struggle under noisy conditions, LSESgram is robust to noise and interference. It first extracts spectral trends using a scale-space-like theory, then performs multi-level segmentation based on these trends. The LSES indicator is then used to identify the optimal demodulation frequency band. The method is validated with simulation and experimental signals, showing superior performance compared to Fast Kurtogram, Infogram, and Autogram.
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| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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