Novel Z-Chart for predicting insufficient oil of automotive belt-driven air conditioning compressor

Automotive air conditioning systems play a vital role in ensuring comfort and safety, particularly in tropical climates where high temperatures and humidity demand reliable cooling. The compressor, as the main component, is essential for circulating refrigerant and maintaining system efficiency. Ens...

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Main Authors: Nuawi, Mohd Zaki, Othman, Muhammad Nur, Ngatiman, Nor Azazi, Yusri, Muhammad Yuszairie
Format: Article
Language:en
Published: Penerbit Universiti Kebangsaan Malaysia 2025
Online Access:http://eprints.utem.edu.my/id/eprint/29357/2/02137210820250442035.pdf
http://eprints.utem.edu.my/id/eprint/29357/
https://www.ukm.my/jkukm/wp-content/uploads/2025/3704/37.pdf
https://doi.org/10.17576/jkukm-2025-37(4)-37
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author Nuawi, Mohd Zaki
Othman, Muhammad Nur
Ngatiman, Nor Azazi
Yusri, Muhammad Yuszairie
author_facet Nuawi, Mohd Zaki
Othman, Muhammad Nur
Ngatiman, Nor Azazi
Yusri, Muhammad Yuszairie
author_sort Nuawi, Mohd Zaki
building UTEM Library
collection Institutional Repository
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
continent Asia
country Malaysia
description Automotive air conditioning systems play a vital role in ensuring comfort and safety, particularly in tropical climates where high temperatures and humidity demand reliable cooling. The compressor, as the main component, is essential for circulating refrigerant and maintaining system efficiency. Ensuring the compressor operates is crucial as it compromises the performance and could impact the overall functionality of the air conditioning system. The moving components inside the compressor, such as the bearing and piston, require lubrication with a specific quantity of oil. Therefore, maintaining optimal compressor oil levels is crucial to prevent system inefficiencies and potential mechanical failures. This study introduces a novel diagnostic approach using Z-freq 3D statistical analysis to monitor and predict insufficient or excessive oil levels in belt-driven air conditioning compressors. Triaxial vibration data were collected using wireless accelerometers across varying compressor speeds and oil quantities. The data were analyzed and formed into a novel Z-Chart, a control chart that correlates vibration characteristics with oil adequacy. Results reveal that compressors with 80 ml of oil exhibited the lowest vibration, while both insufficient (40 ml, 60 ml) and excessive (100 ml, 120 ml) oil levels led to higher vibration due to suboptimal performance. The Z-Chart, based on the ‘b/a’ coefficient derived from the Gauss Amp model, provides a new visual and quantitative tool for predictive maintenance, enabling early detection of oil-related issues. This method offers significant implications for the automotive industry by reducing operational costs and enhancing compressor reliability. Future research could integrate this technique with IoT-enabled real-time monitoring systems to further improve maintenance practices.
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spelling my.utem.eprints-293572025-12-30T06:37:11Z http://eprints.utem.edu.my/id/eprint/29357/ Novel Z-Chart for predicting insufficient oil of automotive belt-driven air conditioning compressor Nuawi, Mohd Zaki Othman, Muhammad Nur Ngatiman, Nor Azazi Yusri, Muhammad Yuszairie Automotive air conditioning systems play a vital role in ensuring comfort and safety, particularly in tropical climates where high temperatures and humidity demand reliable cooling. The compressor, as the main component, is essential for circulating refrigerant and maintaining system efficiency. Ensuring the compressor operates is crucial as it compromises the performance and could impact the overall functionality of the air conditioning system. The moving components inside the compressor, such as the bearing and piston, require lubrication with a specific quantity of oil. Therefore, maintaining optimal compressor oil levels is crucial to prevent system inefficiencies and potential mechanical failures. This study introduces a novel diagnostic approach using Z-freq 3D statistical analysis to monitor and predict insufficient or excessive oil levels in belt-driven air conditioning compressors. Triaxial vibration data were collected using wireless accelerometers across varying compressor speeds and oil quantities. The data were analyzed and formed into a novel Z-Chart, a control chart that correlates vibration characteristics with oil adequacy. Results reveal that compressors with 80 ml of oil exhibited the lowest vibration, while both insufficient (40 ml, 60 ml) and excessive (100 ml, 120 ml) oil levels led to higher vibration due to suboptimal performance. The Z-Chart, based on the ‘b/a’ coefficient derived from the Gauss Amp model, provides a new visual and quantitative tool for predictive maintenance, enabling early detection of oil-related issues. This method offers significant implications for the automotive industry by reducing operational costs and enhancing compressor reliability. Future research could integrate this technique with IoT-enabled real-time monitoring systems to further improve maintenance practices. Penerbit Universiti Kebangsaan Malaysia 2025 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/29357/2/02137210820250442035.pdf Nuawi, Mohd Zaki and Othman, Muhammad Nur and Ngatiman, Nor Azazi and Yusri, Muhammad Yuszairie (2025) Novel Z-Chart for predicting insufficient oil of automotive belt-driven air conditioning compressor. Jurnal Kejuruteraan, 37 (4). pp. 2003-2014. ISSN 0128-0198 https://www.ukm.my/jkukm/wp-content/uploads/2025/3704/37.pdf https://doi.org/10.17576/jkukm-2025-37(4)-37
spellingShingle Nuawi, Mohd Zaki
Othman, Muhammad Nur
Ngatiman, Nor Azazi
Yusri, Muhammad Yuszairie
Novel Z-Chart for predicting insufficient oil of automotive belt-driven air conditioning compressor
title Novel Z-Chart for predicting insufficient oil of automotive belt-driven air conditioning compressor
title_full Novel Z-Chart for predicting insufficient oil of automotive belt-driven air conditioning compressor
title_fullStr Novel Z-Chart for predicting insufficient oil of automotive belt-driven air conditioning compressor
title_full_unstemmed Novel Z-Chart for predicting insufficient oil of automotive belt-driven air conditioning compressor
title_short Novel Z-Chart for predicting insufficient oil of automotive belt-driven air conditioning compressor
title_sort novel z-chart for predicting insufficient oil of automotive belt-driven air conditioning compressor
url http://eprints.utem.edu.my/id/eprint/29357/2/02137210820250442035.pdf
http://eprints.utem.edu.my/id/eprint/29357/
https://www.ukm.my/jkukm/wp-content/uploads/2025/3704/37.pdf
https://doi.org/10.17576/jkukm-2025-37(4)-37
url_provider http://eprints.utem.edu.my/