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A platform for research: civil engineering, architecture and urbanism
Review on Machine Learning Algorithm Based Fault Detection in Induction Motors
https://orcid.org/0000-0003-1414-3398
Abstract Fault detection prior to their occurrence or complete shut-down in induction motor is essential for the industries. The fault detection based on condition monitoring techniques and application of machine learning have tremendous potential. The power of machine learning can be harnessed and optimally used for fault detection. The faults especially in induction motor needs to be addressed at a proper time for avoiding losses. Machine learning algorithm applications in the domain of fault detection provides a reliable and effective solution for preventive maintenance. This paper presents a review of the machine learning algorithm applications in fault detection in induction motors. This paper also presents the future prospects and challenges for an efficient machine learning based fault detection systems.
Review on Machine Learning Algorithm Based Fault Detection in Induction Motors
https://orcid.org/0000-0003-1414-3398
Abstract Fault detection prior to their occurrence or complete shut-down in induction motor is essential for the industries. The fault detection based on condition monitoring techniques and application of machine learning have tremendous potential. The power of machine learning can be harnessed and optimally used for fault detection. The faults especially in induction motor needs to be addressed at a proper time for avoiding losses. Machine learning algorithm applications in the domain of fault detection provides a reliable and effective solution for preventive maintenance. This paper presents a review of the machine learning algorithm applications in fault detection in induction motors. This paper also presents the future prospects and challenges for an efficient machine learning based fault detection systems.
Review on Machine Learning Algorithm Based Fault Detection in Induction Motors
https://orcid.org/0000-0003-1414-3398
Abstract Fault detection prior to their occurrence or complete shut-down in induction motor is essential for the industries. The fault detection based on condition monitoring techniques and application of machine learning have tremendous potential. The power of machine learning can be harnessed and optimally used for fault detection. The faults especially in induction motor needs to be addressed at a proper time for avoiding losses. Machine learning algorithm applications in the domain of fault detection provides a reliable and effective solution for preventive maintenance. This paper presents a review of the machine learning algorithm applications in fault detection in induction motors. This paper also presents the future prospects and challenges for an efficient machine learning based fault detection systems.
Review on Machine Learning Algorithm Based Fault Detection in Induction Motors
Kumar, Prashant (author) / Hati, Ananda Shankar (author)
2020
Article (Journal)
Electronic Resource
English
Condition Monitoring and Fault Diagnosis of Induction Motors: A Review
| Springer Verlag | 2019
Condition Monitoring and Fault Diagnosis of Induction Motors: A Review
| Online Contents | 2018
An Efficient Fault Detection Method for Induction Motors Using Thermal Imaging and Machine Vision
| DOAJ | 2022
Engineering Index Backfile | 1916