Journal ArticleDOI
The spectral kurtosis: a useful tool for characterising non-stationary signals
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TLDR
A formalisation of the spectral kurtosis by means of the Wold–Cramer decomposition of “conditionally non-stationary” processes is proposed, which engenders many useful properties enjoyed by the SK.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 2006-02-01. It has received 974 citations till now.read more
Citations
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Journal ArticleDOI
Gear crack detection using modified TSA and proposed fault indicators for fluctuating speed conditions
Vikas Sharma,Anand Parey +1 more
TL;DR: In this paper, a comprehensive comparison of various condition indicators, i.e., RMS, kurtosis, crest factor, FM0, FM4, M6A, NB4, energy ratio, energy operator and two new proposed condition indicators (PS-I and PS-II), have been performed for no crack, initial crack, and advanced crack for different fluctuating profiles of input speed.
Journal ArticleDOI
A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis
TL;DR: A weighted multi-scale dictionary learning model (WMSDL) is proposed in this paper which integrates the multi- scale transform and fault information into a unified dictionary learning models and it successfully overcomes four disadvantages of traditional dictionary learning algorithms.
Journal ArticleDOI
A general sequential Monte Carlo method based optimal wavelet filter: A Bayesian approach for extracting bearing fault features
TL;DR: In this paper, a general particle filter is introduced to optimize a wavelet filter for extracting bearing fault features, where a joint posterior probability density function of wavelet parameters is represented by a set of random particles with their associated weights.
Journal ArticleDOI
An Effective Stator Fault Diagnosis Framework of BLDC Motor Based on Vibration and Current Signals
Tanvir Alam Shifat,Jang Wook Hur +1 more
TL;DR: This paper presents a comprehensive review of a permanent magnet brushless DC motor’s (BLDC motor) fault diagnosis combining vibration and current signals collected from sensors, validated using experimental data and proven to detect the stator fault at the early stage as well as distinguish between different fault states.
Journal ArticleDOI
Multi-fault detection of rolling element bearings under harsh working condition using IMF-based adaptive envelope order analysis.
TL;DR: The result shows that IMF-AEOA could accurately identify both single and multiple faults of bearing even under time-varying rotating speed and large extraneous shocks.
References
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Book
Probability, random variables and stochastic processes
TL;DR: This chapter discusses the concept of a Random Variable, the meaning of Probability, and the axioms of probability in terms of Markov Chains and Queueing Theory.
Book
Probability, random variables, and stochastic processes
TL;DR: In this paper, the meaning of probability and random variables are discussed, as well as the axioms of probability, and the concept of a random variable and repeated trials are discussed.
Journal ArticleDOI
Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications
TL;DR: A compendium of recent theoretical results associated with using higher-order statistics in signal processing and system theory is provided, and the utility of applying higher- order statistics to practical problems is demonstrated.
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.
Related Papers (5)
The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines
Jérôme Antoni,Robert B. Randall +1 more