Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models
In this paper, a review on condition monitoring of induction motors is first presented. Then,
an ensemble of hybrid intelligent models that is useful for condition monitoring of induction …
an ensemble of hybrid intelligent models that is useful for condition monitoring of induction …
Fault detection and diagnosis of induction motors using motor current signature analysis and a hybrid FMM–CART model
In this paper, a novel approach to detect and classify comprehensive fault conditions of
induction motors using a hybrid fuzzy min-max (FMM) neural network and classification and …
induction motors using a hybrid fuzzy min-max (FMM) neural network and classification and …
Condition monitoring of induction motors via instantaneous power analysis
Condition monitoring is an important factor in assuring the well-being of motors. Existing
approaches of condition monitoring require access to the motor for sensor installation. This …
approaches of condition monitoring require access to the motor for sensor installation. This …
Multiple-fault diagnosis in induction motors through support vector machine classification at variable operating conditions
JD Martínez-Morales, ER Palacios-Hernández… - Electrical …, 2018 - Springer
This work presents a fault diagnosis strategy for induction motors based on multi-class
classification through support vector machines (SVM), and the so-called one-against-one …
classification through support vector machines (SVM), and the so-called one-against-one …
[图书][B] Condition monitoring and faults diagnosis of induction motors: electrical signature analysis
The book covers various issues related to machinery condition monitoring, signal
processing and conditioning, instrumentation and measurements, faults for induction motors …
processing and conditioning, instrumentation and measurements, faults for induction motors …
Combined intelligent methods based on wireless sensor networks for condition monitoring and fault diagnosis
This study presents new combined methods based on multiple wireless sensor system for
real-time condition monitoring of electric machines. The established experimental setup …
real-time condition monitoring of electric machines. The established experimental setup …
Investigation on early fault classification for rolling element bearing based on the optimal frequency band determination
H Li, X Lian, C Guo, P Zhao - Journal of Intelligent Manufacturing, 2015 - Springer
Condition monitoring and fault diagnosis of working machine become increasingly important
during the manufacturing process because they are closely related to the quality of product …
during the manufacturing process because they are closely related to the quality of product …
An adaptive artificial immune system for fault classification
Fault diagnosis is very important in ensuring safe and reliable operation in manufacturing
systems. This paper presents an adaptive artificial immune classification approach for …
systems. This paper presents an adaptive artificial immune classification approach for …
A bearing outer raceway fault detection method in induction motors based on instantaneous frequency of the stator current
X Song, J Hu, H Zhu, J Zhang - IEEJ Transactions on Electrical …, 2018 - Wiley Online Library
Induction motors (IMs) are widely used in agricultural, industrial, and commercial
applications. Bearing faults are one of the most common causes of breakdown in IMs. Motor …
applications. Bearing faults are one of the most common causes of breakdown in IMs. Motor …
Data fusion for multiple mechanical fault diagnosis in induction motors at variable operating conditions
JD Martínez-Morales, E Palacios… - 2010 7th …, 2010 - ieeexplore.ieee.org
In this paper, data fusion based on multi-class support vector machines (SVM) is presented
to detect and isolate three mechanical faults in induction motors. First, we construct the …
to detect and isolate three mechanical faults in induction motors. First, we construct the …