Development of Advanced Vibration Analysis System
This project aims to develop an advanced vibration analysis system utilizing video acquisition, image processing, computer vision, and artificial intelligence to visualize and diagnose common machinery faults effectively in condition-based maintenance programs. The system will enhance fault diagnostic capabilities through motion amplification techniques.
- Vibration Analysis
- Machinery Faults
- Condition-Based Maintenance
- Artificial Intelligence
- Image Processing
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Development of automated impactor for operational modal testing of reciprocating machine Project Title: ISMA was successfully tested in rotating machinery in determination of the dynamic characteristics of system during operation. Reciprocating machinery usually encounter higher vibration than the rotating machinery with its reciprocating motion effect due to the repeated impulsive events. This study focuses on the development of an automated impact device with suitable control strategy which is able to impart at the correct timing based on the phase synchronization assessment to suppress the external vibration source of reciprocating effect and thus giving a cleaner FRF and more accurate dynamics characteristics of an operational reciprocating machine. Synopsis: 1. To design an automated impactor for operational modal testing of reciprocating machine 2. To design a suitable control strategy to impart impacts at the time as decided in phase synchronization assessment 3. To investigate the effectiveness of ISMA with automated impactor in suppression of reciprocating effect. Objectives: Equipment required: Impactor, Force Transducer, Accelerometer, DAQ Software required: Labview Supervisor(Department): Ir. Dr. Ong Zhi Chao (Mechanical) Program: Master of Mechanical Engineering Duration: Maximum 2 consecutive semesters
Sensitivity analysis of de-noised phase velocity dispersion curve in structural damage detection scheme Project Title: The Impact-Echo-Spectral Analysis of Surface Wave (IE-SASW) method has been widely used to evaluate the integrity of concrete structures. An method known as Impact-Synchronous Time Averaging (ISTA) is developed with the aim to allow the IE-SASW to be performed in a noisy environment, when structure is in service and yet could provide a static-like vibrational modal data through de-noising processes. Studies have also shown that phase is a more sensitive modal parameter to damage or changes in mechanical properties of the structures. Thus, this study utilizes the phase velocity dispersion curve obtained through IE- SASW and denoised through ISTA technique in the investigation of its sensitivity in structural damage propagation. 1. To perform IE-SASW on a stationary and in-service systems through ISTA denoising technique 2. To review the effectiveness of ISTA in denoising the noises of in-service system in producing clean dispersion curve 3. To study experimentally the sensitivity, reliability and repeatability of denoised phase velocity dispersion curve to different damage locations and severities Synopsis: Objectives: Equipment required: Impact Hammer, Accelerometer, DAQ Software required: IE-SASW-ISTA application program Supervisor(Department): Ir. Dr. Ong Zhi Chao (Mechanical) Program: Master of Mechanical Engineering Duration: Maximum 2 consecutive semesters
Development of machinery vibration assessment system for effective faults daignostic in Condition Based Maintenance Project Title: This study focuses on the development of advanced vibration analysis application programme through video acquisition, image processing, computer vision and artificial intelligence to amplified and slow down the machinery vibration motion. This could help in an effective visualization and diagnostics of the common machinery faults. This is very useful in the implementation in the current condition based maintenance programme. Synopsis: 1. To perform video acquisition of machinery vibration during in-service condition 2. To perform image processing and computer vision technique to amplify the vibration motion of the acquired video 3. To identify the machinery faults through visualization of motion amplified video with AI technique. Objectives: Equipment required: Impact Hammer, Accelerometer, DAQ Software required: Labview Supervisor(Department): Ir. Dr. Ong Zhi Chao (Mechanical) Program: Master of Mechanical Engineering Duration: Maximum 2 consecutive semesters
Performance optimization of Piezoelectric Vibration Energy Harvester system via experimental and numerical assessments Project Title: In recent years, research on harvesting energy loss due to vibration and convert it to useful energy, i.e., electrical energy has received great attention. This harvested energy can be stored and used to power up electrical and electronics devices to promote green growth for sustainability and resilience. Piezoelectric material is a widely used material for vibration energy harvesting. This study focuses on the design, analysis, fabrication and testing of piezoelectric vibration energy harvester system which considers the vibration aspect to harvest optimal energy from low frequency range of vibrating system. This study also deals with proposing a new optimum design configuration of vibration energy harvester via experimental and numerical assessments. 1. To design a piezoelectric vibration energy harvester system based on vibration aspect 2. To improve the performance of piezoelectric energy harvesting bimorph plate via design modification 3. To validate experimentally the proposed design on the performance enhancement of piezoelectric energy harvesting bimorph plate Synopsis: Objectives: Equipment required: Electromagnetic Shaker System with Power Amplifier, DAQ Software required: Solidworks, ANSYS, Data acquisition program Supervisor(Department): Ir. Dr. Ong Zhi Chao (Mechanical) Program: Master of Mechanical Engineering Duration: Maximum 2 consecutive semesters
Enhancement of energy harvesting performance by omni-directional wind funnel coupled with optimal bluff splitter body design Project Title: A VIV harvester with the presence of a bluff splitter body is believed to have high energy conversion efficiency. With the optimized shape design and edge angle of the bluff splitter body determined, an omni-directional wind funnel is designed and installed in front of the coupled bluff splitter body and PVEH plate to fulfil the task of energy harvesting. The omni-directional wind funnel is able direct winds from multiple directions to an optimum wind speed range before channelling it to the adopted optimum aspect ratio, shape and angle design of coupled bluff splitter body and PVEH plate. By generating optimum vortex frequency according to the characteristics of the PVEH plate, maximum energy output is expected. Synopsis: 1. To investigate the vortex induced vibration performance enhancement of a coupled bluff splitter body and elastic plate model under different wind speeds. 2. To investigate the vortex induced vibration performance enhancement through shape design and edge angle optimization of coupled bluff splitter body. 3. To design omni-directional wind funnel to control wind speed to an optimum range before channeling it to the optimized design of coupled bluff splitter body and PVEH plate Objectives: Equipment required: N/A Software required: Solidworks, ANSYS Supervisor(Department): Ir. Dr. Ong Zhi Chao (Mechanical) Program: Master of Mechanical Engineering Duration: Maximum 2 consecutive semesters
