Detection and diagnosis of air compressor faults using weightless neural networks

Detection and diagnosis of air compressor faults using weightless neural networks

This study presents an innovative method utilizing weightless neural networks (WNNs) to identify and address various types of faults in air compressor modules. Random access memory (RAM) devices are harnessed by WNNs to emulate the functioning of neurons. The training process employs a versatile and...

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Bibliographic Details
Main Authors: Anubhab Bhattacharyya, Naveen Venkatesh Sridharan, Aravinth Sivakumar, Sugumaran Vaithiyanathan
Format: Article
Language:English
Published: SAGE Publishing 2025-05-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/16878132251341384
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