Condition Monitoring of Lubricant in Static Mechanisms Using Pulse-Echo Ultrasound Technique
Fuzzy inference; Knowledge based systems; Lubricants; Signal processing; Ultrasonic applications; Ultrasonic testing; Ultrasonics; Wavelet transforms; Classification system; Fuzzy inference systems; Mechanical components; Pulse echo ultrasound; Pulse-echo technique; Ultrasonic inspection system; Ult...
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Elsevier B.V.
2023
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my.uniten.dspace-229452023-05-29T14:13:35Z Condition Monitoring of Lubricant in Static Mechanisms Using Pulse-Echo Ultrasound Technique Ali M. Simic M. Imad F. Nagi F. 57191335054 35215976200 55645983700 56272534200 Fuzzy inference; Knowledge based systems; Lubricants; Signal processing; Ultrasonic applications; Ultrasonic testing; Ultrasonics; Wavelet transforms; Classification system; Fuzzy inference systems; Mechanical components; Pulse echo ultrasound; Pulse-echo technique; Ultrasonic inspection system; Ultrasonic testing method; wavelet; Condition monitoring This paper proposes an active pulse-echo ultrasonic testing method to determine the lubricant condition in static mechanical components and assemblies. An ultrasonic inspection system was constructed to produce and receive back, high frequency ultrasonic pulses. Wavelet transform was used to de-noise the acquired signal and extract features from the feedback waveforms. Features data, from different samples, were analyzed and used to develop a fuzzy inference system to define the lubricant condition. Classification system was then examined, using grease samples, with known condition. The results indicated that the novel pulse-echo technique is a suitable method for the inspection of lubricants condition in various engineering systems. � 2016 The Authors. Published by Elsevier B.V. Final 2023-05-29T06:13:34Z 2023-05-29T06:13:34Z 2016 Conference Paper 10.1016/j.procs.2016.08.198 2-s2.0-84988864223 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988864223&doi=10.1016%2fj.procs.2016.08.198&partnerID=40&md5=dedb4474a5e18c6eee28eac894d02576 https://irepository.uniten.edu.my/handle/123456789/22945 96 1518 1527 All Open Access, Gold, Green Elsevier B.V. Scopus |
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| description |
Fuzzy inference; Knowledge based systems; Lubricants; Signal processing; Ultrasonic applications; Ultrasonic testing; Ultrasonics; Wavelet transforms; Classification system; Fuzzy inference systems; Mechanical components; Pulse echo ultrasound; Pulse-echo technique; Ultrasonic inspection system; Ultrasonic testing method; wavelet; Condition monitoring |
| author2 |
57191335054 |
| author_facet |
57191335054 Ali M. Simic M. Imad F. Nagi F. |
| format |
Conference Paper |
| author |
Ali M. Simic M. Imad F. Nagi F. |
| spellingShingle |
Ali M. Simic M. Imad F. Nagi F. Condition Monitoring of Lubricant in Static Mechanisms Using Pulse-Echo Ultrasound Technique |
| author_sort |
Ali M. |
| title |
Condition Monitoring of Lubricant in Static Mechanisms Using Pulse-Echo Ultrasound Technique |
| title_short |
Condition Monitoring of Lubricant in Static Mechanisms Using Pulse-Echo Ultrasound Technique |
| title_full |
Condition Monitoring of Lubricant in Static Mechanisms Using Pulse-Echo Ultrasound Technique |
| title_fullStr |
Condition Monitoring of Lubricant in Static Mechanisms Using Pulse-Echo Ultrasound Technique |
| title_full_unstemmed |
Condition Monitoring of Lubricant in Static Mechanisms Using Pulse-Echo Ultrasound Technique |
| title_sort |
condition monitoring of lubricant in static mechanisms using pulse-echo ultrasound technique |
| publisher |
Elsevier B.V. |
| publishDate |
2023 |
| _version_ |
1806425924611080192 |