Journal ArticleDOI
Detection of Generalized-Roughness Bearing Fault by Spectral-Kurtosis Energy of Vibration or Current Signals
TLDR
A statistical analysis of typical bearing faults is proposed here in order to identify the spreading bandwidth related to specific conditions, relying on current or vibration measurements only, and a diagnostic index based on the computation of the energy in the previously defined bandwidth is used to diagnose bearing faults.Abstract:
Generalized roughness is the most common damage occurring to rolling bearings. It produces a frequency spreading of the characteristic fault frequencies, thus making it difficult to detect with spectral or envelope analysis. A statistical analysis of typical bearing faults is proposed here in order to identify the spreading bandwidth related to specific conditions, relying on current or vibration measurements only. Then, a diagnostic index based on the computation of the energy in the previously defined bandwidth is used to diagnose bearing faults. The proposed method was validated experimentally with vibration signals, with robust and reliable results. The same procedure can be extended to current signals.read more
Citations
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Journal ArticleDOI
A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors
TL;DR: A comprehensive survey of the existing condition monitoring and protection methods in the following five areas: thermal protection and temperature estimation, stator insulation monitoring, bearing fault detection, broken rotor bar/end-ring detection, and air gap eccentricity detection is presented in this article.
Journal ArticleDOI
Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression
TL;DR: The experimental results show that the use of the HHT, the SVM, and the SVR is a suitable strategy to improve the detection, diagnostic, and prognostic of bearing degradation.
Journal ArticleDOI
Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications
TL;DR: In this article, the spectral kurtosis (SK) technique is extended to that of a function of frequency that indicates how the impulsiveness of a signal can be detected and analyzed.
Journal ArticleDOI
Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K -Nearest Neighbor Distance Analysis
TL;DR: The method is able to detect incipient faults and diagnose the locations of faults under masking noise, and provides a health index that tracks the degradation of faults without missing intermittent faults.
Journal ArticleDOI
Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks
TL;DR: This work presents a novel monitoring scheme applied to diagnose bearing faults that takes into account the detection of distributed defects, such as roughness, and analyzes the most significant statistical-time features calculated from vibration signal.
References
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Journal ArticleDOI
Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review
TL;DR: A review paper describing different types of faults and the signatures they generate and their diagnostics' schemes will not be entirely out of place to avoid repetition of past work and gives a bird's eye view to a new researcher in this area.
Journal ArticleDOI
A review of induction motors signature analysis as a medium for faults detection
TL;DR: The fundamental theory, main results, and practical applications of motor signature analysis for the detection and the localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of induction motors are introduced.
Journal ArticleDOI
Fast computation of the kurtogram for the detection of transient faults
TL;DR: This communication describes a fast algorithm for computing the kurtogram over a grid that finely samples the ( f, Δ f ) plane and the efficiency of the algorithm is illustrated on several industrial cases concerned with the detection of incipient transient faults.
Journal ArticleDOI
The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines
Jérôme Antoni,Robert B. Randall +1 more
TL;DR: In this article, the spectral kurtosis (SK) was used to detect and characterize nonstationary signals in the presence of strong masking noise and to detect incipient faults in rotating machines.
Journal ArticleDOI
Advances in Diagnostic Techniques for Induction Machines
TL;DR: This paper investigates diagnostic techniques for electrical machines with special reference to induction machines and to papers published in the last ten years, and research activities are classified into four main topics.