Advanced Sensors and Condition Monitoring

Learning Outcomes

Introduction to condition monitoring: •Maintenance philosophies: time based versus condition based, •Machine reliability and condition monitoring, •Condition monitoring procedure and system integration. Condition monitoring techniques: •Vibration based techniques, •Acoustic emission, •Thermal techniques, •Oil debris analysis, •Corrosion monitoring, •Strain sensing, •Energy harvesting and wireless networks. Signal processing techniques for condition monitoring: •Time domain analysis methods, •Frequency domain analysis, •Time-frequency analysis, •Artificial intelligence and machine learning in condition monitoring. Ultrasonic Sensing systems: •Fundamental principles of ultrasonic systems, •Applications of ultrasonic sensors including distance and position measurement, flow velocity measurement, non-destructive testing. Optical Fibre Sensing Systems: •Fundamental principles of optical waveguides, •Optical fibre selection (SM, MM, glass/polymer/sapphire, coatings, connectors etc), •Quasi and distributed sensing approaches (condition monitoring case studies). Sensors for Biomechanical Condition Monitoring: •Introduction to Biomechanical conditions & sensor performance, •Tactile Sensors at Loaded Body Interface, •Strain gauges & load cells for human biomechanical applications, •Inertial Measurement Unit (IMU) for monitoring human gait, motion. MEMS sensors: •MEMS sensors and microfabrication techniques (surface & bulk micromachining), •MEMS sensing mechanisms & engineering applications, •MEMS sensors performance & materials. Group Project: •Group based project consultations.

Teaching methods include •A series of lectures in which the emphasis is on the practical application of the techniques. •Dedicated project consultation sessions. •Lab demonstration sessions on sensors and condition monitoring systems Learning activities include •Worked examples •Reading materials •Group projects