A fault diagnosis of electrical equipment based on improved BP neural network

Xiaoli Xing; Jin Huang

doi:10.1504/ijcat.2025.10076480

January 1, 2025International Journal of Computer Applications in TechnologyOpen Access

A fault diagnosis of electrical equipment based on improved BP neural network

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Key Points

To investigate a method for diagnosing faults in electrical equipment using an improved BP neural network approach.
Utilized an improved backpropagation (BP) neural network for fault detection.
Analyzed electrical equipment performance data to identify fault patterns.
Implemented machine learning techniques to enhance diagnosis accuracy.
Significantly improved accuracy in diagnosing faults compared to traditional methods.
Reduced diagnostic time and increased reliability in fault detection.

Implication

The study demonstrates effective fault diagnosis in electrical equipment, suggesting improved performance through an enhanced neural network approach.

Abstract

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Cite This Study

Xing et al. (2025) studied this question.

synapsesocial.com/papers/699e9152f5123be5ed04ed59 https://doi.org/10.1504/ijcat.2025.10076480

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A fault diagnosis of electrical equipment based on improved BP neural network

Key Points

Implication

Abstract

Discussion

Cite This Study

A fault diagnosis of electrical equipment based on improved BP neural network

Key Points

Implication

Abstract

Discussion

Cite This Study

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