Titlebook: Intelligent Manufacturing and Mechatronics; Selected Articles fr Wan Hasbullah Mohd. Isa,Ismail Mohd. Khairuddin,Pe Conference proceedings

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Optimized-ELM Based on Geometric Mean Optimizer for Bearing Fault Diagnosis, In recent years, machine learning techniques already being utilized extensively in the research of bearing fault diagnosis. One of the recent methods that has gained popularity is the extreme learning machine (ELM) method. This method offers several advantages, such as fast learning rate, generaliz

刺耳

Detection of Fault Features in Remanufacturing of Automotive Components Using Image Processing and . Implementing image processing technique in the visual inspection stage is used to reduce cost and time while increasing accuracy. This research aims to perform real-time surface visual defect detection that is simpler and less costly which commonly uses machine learning and/or deep learning techni

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同步左右

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防水

Investigation of Wheel Robot Grouser Width Parameter Effect on Robot Mobility in Soft Sand Terrain of research mainly focused on the normal wheel with fixed grousers. This paper showcases the study of performance of the assistive grouser wheel moving on a flat surface sandy terrain attached with different grouser width parameters. Two different grouser shapes were fabricated which consist of C-S

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Congruous

Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals,ons can be affected by human emotions (Ali et al. in Wirel Pers Commun 125:3699–3713, 2022; Katmah et al. in Sensors 21(15):5043). Hence, human brainwaves or electroencephalogram (EEG) signals can be employed to analyze and interpret the development of human mental stage. In this research, 1-channel

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Modeling Bearing Temperature of DC Machine in No-Load Condition Using Transfer Function,ture of the bearing is a valuable information that may allow early fault detection, lubrication assessment, and overloading indication of the system driven. Using the temperature measurement of the bearing and comparing it to a baseline temperature in real time will allow early warning of any eventu