Search Results - "Lim Meng Hee"

Working Principles of Vibroelectric Nano Generator in Wireless Sensor Networks: A Review by Siang, Jee, Hee, Lim Meng, Leong, Mohd. Salman

“…Wireless sensor networks are solely dependent on battery limits the operation as well as maintenance effort. Vibroelectric nano generator able to prolong the…”
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Condition Monitoring of Blade in Turbomachinery: A Review by Abdelrhman, Ahmed M., Hee, Lim Meng, Leong, M. S., Al-Obaidi, Salah

“…Blade faults and blade failures are ranked among the most frequent causes of failures in turbomachinery. This paper provides a review on the condition…”
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Automated Harmonic Signal Removal Technique Using Stochastic Subspace-Based Image Feature Extraction by Abu Hasan, Muhammad Danial Bin, Ahmad, Zair Asrar Bin, Leong, Mohd Salman, Hee, Lim Meng

“…This paper presents automated harmonic removal as a desirable solution to effectively identify and discard the harmonic influence over the output signal by…”
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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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A Comparison of Finite Element Analysis (With Additional Aspects) For Predicting the Noise and Vibration for Railway Project in Malaysia by Yeo, Siang Chuan, Lim, Meng Hee, Eng, Hoe Cheng

“…This paper is about predicting the noise and vibrations for railways project in Malaysia by using Finite Element Analysis method. In recent years, Malaysia is…”
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Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review by Saufi, Syahril Ramadhan, Ahmad, Zair Asrar Bin, Leong, Mohd Salman, Lim, Meng Hee

“…In the age of industry 4.0, deep learning has attracted increasing interest for various research applications. In recent years, deep learning models have 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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Dempster-Shafer evidence theory for multi-bearing faults diagnosis by Hui, Kar Hoou, Lim, Meng Hee, Leong, Mohd Salman, Al-Obaidi, Salah Mahdi

“…Support vector machines (SVMs) are frequently used in automated machinery faults diagnosis to classify multiple machinery faults by handling a high number of…”
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Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis by Faysal, Atik, Ngui, Wai Keng, Lim, Meng Hee, Leong, Mohd Salman

“…Rotating machinery is one of the major components of industries that suffer from various faults due to the constant workload. Therefore, a fast and reliable…”
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Hybrid vibro-acoustic energy harvesting using electromagnetic transduction for autonomous condition monitoring system by Ahmad, Iftikhar, Meng Hee, Lim, M. Abdelrhman, Ahmed, Asad Imam, Syed, Leong, M.S.

“…•A novel hybrid vibro-acoustic energy harvester (HVA-EH) using electromagnetic transduction was developed.•The developed prototype can harvest low-frequency…”
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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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Low-Speed Bearing Fault Diagnosis Based on ArSSAE Model Using Acoustic Emission and Vibration Signals by Saufi, Syahril Ramadhan, Ahmad, Zair Asrar Bin, Leong, Mohd Salman, Lim, Meng Hee

“…The development of rolling element bearing fault diagnosis systems has attracted a great deal of attention due to bearing components having a high tendency…”
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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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Denoising diffusion implicit model for bearing fault diagnosis under different working loads by Wong, Toong Yang, Lim, Meng Hee, Ngui, Wai Keng, Salman Leong, Mohd

“…Rotating machineries always operating under different loads and suffer from various types of bearing fault. Thus, bearing fault diagnosis is essential to…”
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Vortex-induced vibration characteristics of a low-mass-ratio flexible cylinder by Lee Kee Quen, Aminudin Abu, Naomi Kato, Pauziah Muhamad, Kang Hooi Siang, Lim Meng Hee, Mohd Asamudin A Rahman

“…A laboratory experiment is conducted is to investigate the behaviour of a low-mass-ratio and high aspect ratio flexible cylinder under vortex-induced vibration…”
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Detection of Early Faults in Rotating Machinery Based on Wavelet Analysis by Lim, Meng Hee, Leong, M. S.

“…This paper explores the application of wavelet analysis for the detection of early changes in rotor dynamics caused by common machinery faults, namely, rotor…”
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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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Reconstruction of Vital Blade Signal from Unsteady Casing Vibration by Lim, Meng Hee, Leong, M. S.

“…Some important information pertaining to blade fault is thought to be concealed in highly unsteady casing vibration. This paper explores suitable methods to…”
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Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample by Saufi, Syahril Ramadhan, Ahmad, Zair Asrar Bin, Leong, Mohd Salman, Lim, Meng Hee

“…Massive volumes of data are needed for deep learning (DL) models to provide accurate diagnosis results. Numerous studies of fault diagnosis systems have…”
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Impact of internet of things paradigm towards energy consumption prediction: A systematic literature review by Cheng, Yew Leong, Lim, Meng Hee, Hui, Kar Hoou

“…The contribution of buildings to energy consumption (both residential and commercial) is expected to gradually increase by 2040 in developed countries…”
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