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A review of stochastic resonance in rotating machine fault detection
Condition-based monitoring and machine fault detection play important roles in industry as
they can ensure safety and reduce breakdown loss. Weak signal detection is an essential …
they can ensure safety and reduce breakdown loss. Weak signal detection is an essential …
Tacholess speed estimation in order tracking: A review with application to rotating machine fault diagnosis
Order tracking (OT), which is realized by signal sampling in equal-angle increment
according to the measured rotating speed, is a powerful technique for rotating machine fault …
according to the measured rotating speed, is a powerful technique for rotating machine fault …
A combined polynomial chirplet transform and synchroextracting technique for analyzing nonstationary signals of rotating machinery
Time-frequency analysis (TFA) technique is an effective approach to capture the changing
dynamic in a nonstationary signal. However, the commonly adopted TFA techniques are …
dynamic in a nonstationary signal. However, the commonly adopted TFA techniques are …
The bearing faults detection methods for electrical machines—the state of the art
Electrical machines are prone to faults and failures and demand incessant monitoring for
their confined and reliable operations. A failure in electrical machines may cause …
their confined and reliable operations. A failure in electrical machines may cause …
Time-frequency squeezing and generalized demodulation combined for variable speed bearing fault diagnosis
High-resolution time-frequency representation (TFR) method is effective for signal analysis
and feature detection. However, for variable speed bearing vibration signal, conventional …
and feature detection. However, for variable speed bearing vibration signal, conventional …
A non-linear time–frequency tool for machinery fault diagnosis under varying speed condition
Vibration signals acquired from rotating machines operating under varying speed condition
often exhibit strong frequency modulation. Conventional time–frequency analysis …
often exhibit strong frequency modulation. Conventional time–frequency analysis …
Weighted cyclic harmonic-to-noise ratio for rolling element bearing fault diagnosis
A novel index termed weighted cyclic harmonic-to-noise ratio (WCHNR) is proposed to
directly evaluate the quality and quantity of harmonics of bearing characteristic frequency …
directly evaluate the quality and quantity of harmonics of bearing characteristic frequency …
Condition monitoring and fault diagnosis of motor bearings using undersampled vibration signals from a wireless sensor network
Wireless sensor networks (WSNs) which consist of miscellaneous sensors are used
frequently in monitoring vital equipment. Benefiting from the development of data mining …
frequently in monitoring vital equipment. Benefiting from the development of data mining …
A novel unsupervised clustering and domain adaptation framework for rotating machinery fault diagnosis
Deep-learning-based fault diagnosis methods require a large number of labeled datasets.
However, considering the changing operating conditions, it is impractical to obtain labeled …
However, considering the changing operating conditions, it is impractical to obtain labeled …
Fault detection for rolling-element bearings using multivariate statistical process control methods
This paper proposes a new bearing fault detection framework that is based on multivariate
statistical process control methods. In this framework, historical offline normal data are used …
statistical process control methods. In this framework, historical offline normal data are used …