Search Results - "Ahmad, Zair Asrar"

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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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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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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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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Pollutant Recognition Based on Supervised Machine Learning for Indoor Air Quality Monitoring Systems by Mad Saad, Shaharil, Andrew, Allan, Md Shakaff, Ali, Mat Dzahir, Mohd, Hussein, Mohamed, Mohamad, Maziah, Ahmad, Zair

“…Indoor air may be polluted by various types of pollutants which may come from cleaning products, construction activities, perfumes, cigarette smoke,…”
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Machinery fault diagnosis based on a modified hybrid deep sparse autoencoder using a raw vibration time-series signal by Saufi, Syahril Ramadhan, Isham, Muhammad Firdaus, Ahmad, Zair Asrar, Hasan, M. Danial Abu

“…Intelligent fault diagnosis (IFD) is an effective system to ensure the safe operation of mechanical components such as bearings, gears, and blades. The main…”
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Lamb wave propagation using Wave Finite Element Method by Ahmad, Zair Asrar Bin, Perez, Juan Miguel Vivar, Willberg, Christian, Gabbert, Ulrich

“…Some of the available techniques for Lamb wave propagation simulation are the Finite Element Method (FEM), the Boundary Element Method and the Finite…”
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Multi-Fault Diagnosis Using Stacked Sparse Autoencoder Model by Saufi, Syahril Ramadhan, Bin Ahmad, Zair Asrar, Leong, Mohd Salman, Lim, Meng Hee

“…Fault detection and diagnosis (FDD) of machinery components allow the prevention of unexpected failure. The unexpected failure causes a long downtime and…”
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Comparative analysis of optimization algorithm on DSAE model for bearing fault diagnosis by Saufi, Syahril Ramadhan, Hussin Ab Talib, Mat, Bin Ahmad, Zair Asrar, Meng Hee, Lim, Leong, Mohd Salman, Md Idris, Mohd Haffizzi Bin

“…A rolling-element bearing is one of the most vital components in machinery and maintaining the bearing health condition is very important. Intelligent fault…”
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