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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 …
Condition monitoring and fault diagnosis of induction motor
Background An induction motor is at the heart of every rotating machine and hence it is a
very vital component. Almost in every industry, around 90% of the machines apply an …
very vital component. Almost in every industry, around 90% of the machines apply an …
Wavelet transform for rotary machine fault diagnosis: 10 years revisited
As a multi-resolution analysis method rooted rigorously in mathematics, wavelet transform
(WT) has shown its great potential in rotary machine fault diagnosis, characterized by …
(WT) has shown its great potential in rotary machine fault diagnosis, characterized by …
An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem
In this paper, an improved ant colony optimization (ICMPACO) algorithm based on the multi-
population strategy, co-evolution mechanism, pheromone updating strategy, and …
population strategy, co-evolution mechanism, pheromone updating strategy, and …
Machine fault detection using a hybrid CNN-LSTM attention-based model
The predictive maintenance of electrical machines is a critical issue for companies, as it can
greatly reduce maintenance costs, increase efficiency, and minimize downtime. In this …
greatly reduce maintenance costs, increase efficiency, and minimize downtime. In this …
Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction
The two-layer fuzzy multiple random forest (TLFMRF) is proposed for speech emotion
recognition. When recognizing speech emotion, there are usually some problems. One is …
recognition. When recognizing speech emotion, there are usually some problems. One is …
Multiscale symbolic fuzzy entropy: An entropy denoising method for weak feature extraction of rotating machinery
The entropy-based method has been demonstrated to be an effective approach to extract
the fault features by estimating the complexity of signals, but how to remove the strong …
the fault features by estimating the complexity of signals, but how to remove the strong …
Fault diagnosis method based on principal component analysis and broad learning system
Traditional feature extraction methods are used to extract the features of signal to construct
the fault feature matrix, which exists the complex structure, higher correlation, and …
the fault feature matrix, which exists the complex structure, higher correlation, and …
Multilevel information fusion for induction motor fault diagnosis
Condition monitoring and fault diagnosis are of significance to improve the safety and
reliability of motors, given their widespread applications in virtually every branch of the …
reliability of motors, given their widespread applications in virtually every branch of the …
An optimized adaptive PReLU-DBN for rolling element bearing fault diagnosis
Rolling element bearings are critical components in industrial rotating machines. Faults and
failures of bearings can cause degradation of machine performance or even a catastrophe …
failures of bearings can cause degradation of machine performance or even a catastrophe …