Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review
Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …
Wavelets for fault diagnosis of rotary machines: A review with applications
Over the last 20 years, particularly in last 10 years, great progress has been made in the
theory and applications of wavelets and many publications have been seen in the field of …
theory and applications of wavelets and many publications have been seen in the field of …
A bearing fault diagnosis method based on wavelet packet transform and convolutional neural network optimized by simulated annealing algorithm
F He, Q Ye - Sensors, 2022 - mdpi.com
Bearings are widely used in various electrical and mechanical equipment. As their core
components, failures often have serious consequences. At present, most parameter …
components, failures often have serious consequences. At present, most parameter …
A sparse auto-encoder-based deep neural network approach for induction motor faults classification
This paper presents a deep neural network (DNN) approach for induction motor fault
diagnosis. The approach utilizes sparse auto-encoder (SAE) to learn features, which …
diagnosis. The approach utilizes sparse auto-encoder (SAE) to learn features, which …
Bearing performance degradation assessment using long short-term memory recurrent network
Bearing is commonly used in rotating machinery, and it is significant to monitor bearing
running states to ensure machine safety. Performance degradation assessment is an …
running states to ensure machine safety. Performance degradation assessment is an …
PRONOSTIA: An experimental platform for bearings accelerated degradation tests.
This paper deals with the presentation of an experimental platform called PRONOSTIA,
which enables testing, verifying and validating methods related to bearing health …
which enables testing, verifying and validating methods related to bearing health …
Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network
GF Bin, JJ Gao, XJ Li, BS Dhillon - Mechanical Systems and Signal …, 2012 - Elsevier
After analyzing the shortcomings of current feature extraction and fault diagnosis
technologies, a new approach based on wavelet packet decomposition (WPD) and …
technologies, a new approach based on wavelet packet decomposition (WPD) and …
A data-driven failure prognostics method based on mixture of Gaussians hidden Markov models
DA Tobon-Mejia, K Medjaher… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
This paper addresses a data-driven prognostics method for the estimation of the Remaining
Useful Life (RUL) and the associated confidence value of bearings. The proposed method is …
Useful Life (RUL) and the associated confidence value of bearings. The proposed method is …
Remaining useful life estimation of critical components with application to bearings
K Medjaher, DA Tobon-Mejia… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Prognostics activity deals with the estimation of the Remaining Useful Life (RUL) of physical
systems based on their current health state and their future operating conditions. RUL …
systems based on their current health state and their future operating conditions. RUL …
Vibration analysis for bearing fault detection and classification using an intelligent filter
This paper proposes an intelligent method based on artificial neural networks (ANNs) to
detect bearing defects of induction motors. In this method, the vibration signal passes …
detect bearing defects of induction motors. In this method, the vibration signal passes …