Search Results - "Ching Sheng, Ooi"

A hybrid k-means-GMM machine learning technique for turbomachinery condition monitoring by Yusoff, Mohd. Dasuki, Ooi, Ching Sheng, Lim, Meng Hee, Leong, Mohd. Salman

“…Industrial practise typically applies pre-set original equipment manufacturers (OEMs) limits to turbomachinery online condition monitoring. However,…”
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Review of Underground Storage Tank Condition Monitoring Techniques by Ching Sheng, Ooi, Ngui, Wai Keng, Kar Hoou, Hui, Meng Hee, Lim, Leong, Mohd. Salman

“…This article aims to provide a comprehensive review on the condition monitoring techniques of underground storage tanks (UST). Generally, the UST has long been…”
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Feature selection tree for automated machinery fault diagnosis by Kar Hoou, Hui, Ching Sheng, Ooi, Meng Hee, Lim, Mohd Salman, Leong

“…Intelligent machinery fault diagnosis commonly utilises statistical features of sensor signals as the inputs for its machine learning algorithm. Due to the…”
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An improved wrapper-based feature selection method for machinery fault diagnosis by Hui, Kar Hoou, Ooi, Ching Sheng, Lim, Meng Hee, Leong, Mohd Salman, Al-Obaidi, Salah Mahdi

“…A major issue of machinery fault diagnosis using vibration signals is that it is over-reliant on personnel knowledge and experience in interpreting the signal…”
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Self-Tune Linear Adaptive-Genetic Algorithm for Feature Selection by Ooi, Ching Sheng, Lim, Meng Hee, Leong, Mohd Salman

“…Genetic algorithm (GA) is an established machine learning technique used for heuristic optimisation purposes. However, this natural selection-based technique…”
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