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State Estimation and Fault Diagnosis in Dynamic Engineering Systems : Towards Enhanced Reliability and Efficiency
ROBOTICS AND MECHATRONICS ENGINEERING
Dr Tan , Chee Pin Professor PhD , CEng ( IET ), PEng ( BEM )
Research expertise : Fault Diagnosis , Modelling , State Observers and Their Applications
E : tan . chee . pin @ monash . edu T : + 603 5514 6205
To control dynamic systems for optimal performance , information on their operating parameters / variables ( states ) are of vital importance ; however it is not straightforward to estimate all states . A state estimator , which uses a model of the system as well as several measured outputs , can be used to estimate these states . In addition , the estimator can also be used for detecting and diagnosing faults ; these information can be used to prescribe the correct intervention strategies . All these will improve the reliability and efficiency of the system .
Currently , I am developing techniques to improve state estimation and fault diagnosis capabilities , and using in various applications , such as estimate the remaining useful life of an industrial robot , improving ability of a soft robotic gripper in grasping oddsized objects , and alleviating traffic congestion .
Wearable Rehabilitation System : Preventing Injuries , Monitoring Rehabilitation and Ensuring Well-Being
Dr Alpha Agape Gopalai Senior Lecturer PhD
Research expertise : Instrumentation of Human Motion , Wireless Sensor Networks , Self-rehabilitation Systems , Wearable Devices
With artificial intelligence and miniature sensors , we are now able to monitor numerous body parameters unobtrusively . This has opened countless possibilities in monitoring patients / individuals outside a clinical setting for extended periods of time . This is of particular interest to the practice of physical medicine and rehabilitation because wearable technology allows clinicians to gather data remotely while individuals go about their acts of daily living . I focus on three main areas of work in developing wearable technology :
1 . Design and implementation of sensors that are minimally obtrusive and reliably record movement or physiological signals .
2 . Development of rehabilitation systems supports rehabilitation while unobtrusively gathering physiological / kinematic / kinetic data to support clinicians .
3 . Design and implementation of algorithms to extract clinically relevant information from recorded data .
The state estimator
Soft robotic manipulator ( gripper )
AMBULATE ME – A hybrid exoskeleton to assist patient regain the ability to walk over time .
E : alpha . agape @ monash . edu T : + 603 5514 4441
Design of algorithms to extract and estimate relevant kinetic / kinematic parameter
R E S E A R C H E R P R O F I L E 2022 / 2023