Abstract:

Abstract The condition-based maintenance philosophy receives a significant amount of attention during the operation of machine maintenance. It is an effective tool for lowering the cost of maintenance, decreasing the number of times machines are offline, and preventing unscheduled breakdowns of machines and equipments. This study aims to boost the plant's availability by safeguarding it against failure in its early stages and assuring the general safety of people and machinery. In artificial intelligence (AI), adaptive system technologies such as neural networks have been used successfully for monitoring the condition of machines. This paper aims to highlight the application of Artificial Neural Network (ANN) techniques or models in condition monitoring of industrial fans and blowers using vibration signals and, in turn, comparing the performance of the same for training and testing time, quantifying and classifying the faults. test success and accuracy.

Keywords: