Summary of Fault Analysis and Predictive Maintenance Of Induction Motor Using Machine Learning, by Kavana Venkatesh et al.
Fault Analysis And Predictive Maintenance Of Induction Motor Using Machine Learning
by Kavana Venkatesh, Neethi M
First submitted to arxiv on: 16 Sep 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Machine learning models are being applied to electrical equipment, particularly induction motors, to enable early detection and diagnosis of faults. A novel approach uses artificial neural networks (ANN) to analyze three-phase voltages and currents, allowing for the classification of common faults like overvoltage, under voltage, single phasing, unbalanced voltage, overload, and ground fault. The model is trained using real-time data from a 0.33 HP induction motor and achieves accurate results. This work presents two models: one that uses an ANN to classify faults based on input signals, and another that utilizes the motor itself as a sensor, requiring only current and voltage values as inputs. The classifier sets limits for healthy and faulty conditions, enabling proactive measures to prevent abnormal event progression. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Induction motors are important machines used in many industries. This research develops a new way to detect when these motors have problems using machine learning. The approach uses special kinds of computer programs called artificial neural networks (ANNs) that can learn from examples. The ANN is trained on data collected from a real motor and can identify common faults like too much or too little voltage, single phasing, unbalanced voltage, overload, and ground fault. This work also presents two ways to use the model: one that takes in input signals and another that uses the motor itself as a sensor. The goal is to detect problems early and prevent bad things from happening. |
Keywords
» Artificial intelligence » Classification » Machine learning
