Vehicle air-condition compressor monitoring using vibration signal analysis (VSA)

Idzham Hadi, Nurafiqah (2024) Vehicle air-condition compressor monitoring using vibration signal analysis (VSA). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This research study focuses study on the monitoring of vehicle compressors using vibration signal analysis. Vehicle compressors are critical components in automotive air conditioning systems, and their reliable performance is essential for passenger comfort and safety. By analysing the vibration signals generated during compressor operation, valuable insights can be obtained regarding its health condition, operational efficiency, and potential faults. The proposed methodology involves the installation of vibration sensors on the compressor housing to capture the vibration signals during operation. These signals are then processed using advanced signal processing technique to extract relevant features and patterns. Machine learning algorithms are employed to classify the extracted features and identify normal operating conditions, as well as various types of anomalies, including compressor misalignment, worn bearings, and valve leaks. To evaluate the effectiveness of the proposed approach, extensive experimental tests were conducted on a range of vehicle compressors with varying models and conditions. The collected vibration data was labelled and utilized to train and validate the machine learning models. The results demonstrate high accuracy in detecting and categorizing compressor faults, enabling timely maintenance actions, and mitigating the risk of unexpected system failures. The implementation of this vibration-based monitoring system offers several advantages. Firstly, it provides real-time monitoring capability, allowing for early detection of potential issues and the initiation of proactive maintenance strategies. Secondly, it facilitates optimized maintenance schedules by enabling condition-based maintenance, thereby reducing costs and downtime. Lastly, it enhances passenger safety by ensuring the reliable and efficient functioning of the vehicle’s air conditioning system. In summary, the research highlights the potential of vibration signal analysis as a robust and effective method for monitoring vehicle compressor. By employing advanced techniques, it offers a proactive to maintenance, improving the reliability, performance, and longevity of automotive air conditioning systems.

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