Venue: Training Room 1. Level 3, SIMTech Tower Block, 71 Nanyang Drive
This is a practical course on machine condition monitoring and diagnostics, with emphasis on sensing, signal processing and feature extraction techniques, to provide knowledge and present tools for analysing machinery faults. Topics include an overview of condition monitoring techniques, basic vibration theory, advanced sensing, signal processing principles and feature extraction. This short course will provide diagnostic examples and demonstrations using SpectraQuest Machinery Fault Simulators which are able to simulate machine faults such as imbalance, misalignment and different bearing faults. The course will adopt a hands-on approach; with theory/lectures, followed by real life examples, as well as demonstration of novel techniques for fault diagnosis. Equipment used includes machinery fault simulator, multi-channel data acquisition system, diagnosis/analysis software, vibration sensor, current transducer, torque sensor and tachometers.
9.00am – 10.00am: Overview of Machine Condition Monitoring (by Dr Ian Chan)
- Why Machine Condition Monitoring
- State-of-the-Art Technologies
- Trend of condition-based monitoring
10.00am - 10.15am: Tea Break
10.15am– 11.45am: Sensing Technology (by Dr Ian Chan)
- Sensors selection and installation
- Data acquisition system (hardware & software)
11.45am - 12.45pm: Signal Processing (by Ms Zhou Junhong)
- Sampling theory
12.45pm - 1.30pm: Lunch
1.30pm - 2.30pm: Feature Extraction (by Ms Zhou Junhong)
- Feature Extraction – Statistical analysis
- Feature Extraction – Frequency domain analysis
- Case study
2.30pm - 4.30pm: Hands-on Practice (Hardware & Software) (by Mr Lim Wei Quan, Ms Zhou Junhong and Dr Ian Chan)
- Lab session on sensors & DAQ
- Lab session on signal processing & feature extraction
4.30pm - 5.00pm: Tea Break
About the Course Leaders
Ms Zhou Junhong joined SIMTech in 1996. Ms Zhou obtained her Master of Engineering from the National University of Singapore for her research in process adaptive control and monitoring. Since joining SIMTech, Ms Zhou has led and was actively involved in a number of research and industry projects on intelligent machine tooling condition monitoring, machine performance degradation monitoring, defects and failure detection in semiconductor. Her interests include: sensing, advanced signal processing, feature extraction and selection, intelligent diagnosis and prognosis. She is a member of IEEE.
Dr Chan Ian obtained his BEng in Mechanical Engineering from the National University of Singapore; MSc and PhD in Aeronautics & Astronautics from Stanford University. He has more than 9 years of experience in research and application of structural health monitoring systems for various types of structures including composite, metallic and reinforced concrete. His work experience include being Project Engineer at DSO (Singapore), teaching and as Research Assistant at Stanford University, Invited Researcher at Smart Structures Research Centre (AIST Tsukuba, Japan) and as a Senior Engineer at Acellent Technologies developing impact and damage detection systems for aerospace industries. He joined SIMTech in 2005 and has been leading a team on developing software for remote healthcare monitoring purposes. His interests include remote monitoring, multi-modal sensing and wireless sensing technology, signal processing and developing new sensing techniques.
Mr Lim Wei Quan joined SIMTech in 2009 as a Research Engineer. He obtained his BEng in Electrical & Computer Engineering from the National University of Singapore. His areas of work involve data acquisition, digital signal processing and feature extraction for equipment health monitoring. His recent involvements in research are on fault diagnostic and machine degradation. His contributions for past projects include development and optimisation of shop floor resource allocation and SCADA systems. Wei Quan's interests include sensing methods for robotics systems and lab-on-chip devices.
Who Should Attend
Production / process managers, engineers & IT support staff from the semiconductor, electronics, precision engineering, automation, aerospace and logistic industries.
Registration Fee : S$250 (including 7% GST) per participant
To book a seat, please register online.
Technical :Ms.Zhou Junhong at Tel: 6793 8289
Email: jzhou@SIMTech.a-star.edu.sg )
General : Ms Samantha Sukiyama Chan at Tel: 6793 8423