HOME | ABOUT THE NETWORKNEWS & ACTIVITIES | RESEARCH | CONTRIBUTE | CONTACT
22858575 22852950 (`@````````` 266 263 5 110183775 110178150   

Professor Andy Tan

Position

Professor, School of Engineering Systems, Queensland University of Technology

Field

Electrical impedance properties, carbon nanotubes

Qualifications

PhD, BSc(Eng), FIEAust, CPEng

Biography

Andy CC Tan received his BSc(Eng) and PhD degrees in mechanical engineering from the University of Westminster, London. His research interests include noise and vibration condition monitoring and sensors for machine and structural health monitoring. He applied adaptive signal processing and the blind deconvolution algorithms to enhance the desired signals corrupted by noise into incipient fault detection and machine diagnostics/prognostics. These algorithms together with acoustic emission sensors are currently being used in low speed machinery condition monitoring and bridge structures health monitoring. He is expanding his research in vibration control into developing bi-ventricular assist device as an artificial heart to enhance the life style and prolong live for final stage heart failure patients. His recent interest is the study of electrical impendence properties of Carbon-nano tube (CNT) for applications as sensors for bridge structure health monitoring and measurement of dynamics characteristics of artificial heart pump. He is a professor of mechanical engineering at the Faculty of Built Environment and Engineering of the Queensland University of Technology and his academic interests include dynamics of mechanical systems, noise and vibrations and mechanism design. He is a Fellow of the Institution of Engineers, Australia.

Research Interests

To explore the possibility of developing carbon nanotube (CNT) sensors

1) corrosion sensor for bridge structures health condition monitoring and

2) monitoring the performance and vibration of artificial heart pumps.

Recent nanoscience/nanotechnology publications

Development of nano corrosion sensor and novel corrosion structural health monitoring system using carbon nanotube smart material. QUT Research report, June 2009.

< Back to researcher listings