Journal ArticleDOI
Thermal Tracking-A Rational Approach to Motor Protection
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TLDR
Motors of modern design have less tolerance to overloads than their predecessors as discussed by the authors, and present-day applications tend to utilize the maximum capability of motors, which may result in their stator insulation or rotor bars severely damaged by over temperature due to repeated starts, locked rotors, cyclic loads and other conditions for which existing overload devices do not provide adequate protection.Abstract:
Motors of modern design have less tolerance to overloads than their predecessors. In addition, present-day applications tend to utilize the maximum capability of motors. Induction -motor stator insulation or rotor bars may be severely damaged by over temperature due to repeated starts, locked rotors, cyclic loads and other conditions for which existing overload devices do not provide adequate protection.read more
Citations
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Journal ArticleDOI
On the application and design of artificial neural networks for motor fault detection. II
TL;DR: The general design considerations for feedforward artificial neural networks to perform motor fault detection are presented and a fuzzy logic approach to configuring the network structure is presented.
Journal ArticleDOI
A neural network approach to real-time condition monitoring of induction motors
TL;DR: In this paper, a neural network-based incipient fault detector for small and medium-size induction motors is developed, which uses more readily available information such as rotor speed and stator current.
Journal ArticleDOI
Using a neural/fuzzy system to extract heuristic knowledge of incipient faults in induction motors. Part I-Methodology
P.V. Goode,Mo-Yuen Chow +1 more
TL;DR: The authors introduce the methodology behind a novel hybrid neural/fuzzy system which merges the neural network and fuzzy logic technologies to solve fault detection problems.
Journal ArticleDOI
IEEE Recommended Practice for Protection and Co-ordination of Industrial and Commercial Power Systems
TL;DR: The principles of system protection and proper selection, application, and coordination of components that may be required to protect industrial and commercial power systems against abnormalities that could reasonably be expected to occur in the course of system operation are presented in this article.
Journal ArticleDOI
Methodology for on-line incipient fault detection in single-phase squirrel-cage induction motors using artificial neural networks
Mo-Yuen Chow,S.O. Yee +1 more
TL;DR: In this paper, a novel approach for online detection of incipient faults in single-phase squirrel-cage induction motors through the use of artificial neural networks is presented, which is composed of two parts: (1) a disturbance and noise filter artificial neural network to filter out the transient measurements while retaining the steady-state measurements, and (2) a high-order incipient fault detection Artificial Neural Networks (ANN) to detect incipient failures in single phase Squirrel-cages induction motors based on data collected from the motor.
References
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Journal ArticleDOI
Thermal Relationships in an Induction Motor under Normal and Abnormal Operation
TL;DR: In this article, a series of tests were made on a 350-hp (horsepower) 900-rpm induction motor, including single-and three-phase stall and running tests, and acceleration tests at different voltage levels and subsynchronous speeds.
Journal ArticleDOI
Safe Locked Rotor Time: How Safe Is It?
TL;DR: In this article, the effect of the motor's "safe time-current characteristic" (which expresses internal stress limits in terns of line current) on the problem of protective relaying is described.