OverviewSENSORS AND SENSING SYSTEMS
Measurement terminology: Input and output, range, accuracy, precision, resolution, sensitivity, linearity, repeatability, reproducibility, calibration and traceability.
Sensors and transducers: Temperature sensors, resistive sensors, capacitive sensors, electrostatic sensors, piezoelectric sensors, optical sensors, ultrasonic sensors, radiological sensors and MEMS.
Optical sensing techniques: IR sensors, passive IR sensors, photo-resistive sensors, photovoltaic sensors, photodiodes, photoelectric detectors, solid state lasers.
Signal processing techniques: theories and applications of auto-correlation and cross-correlation.
IMAGING BASED MEASUREMENT AND MONITORING TECHNIQUES
Digital imaging technologies: architectures of CCD and CMOS (structure of sensor array, charge generation, collection and transfer, frame readout, digitisation), characteristics of CCD and CMOS (resolution, gain, dynamic range, spectral response, linearity, noise and sensitivity), colour generation, CCD vs CMOS, camera interfaces, special cameras.
Image processing techniques: Image array, image enhancement and filtering, histogram modification, edge detection and segmentation, feature extraction, Fourier domain representations and filtering.
Imaging systems: CCD/CMOS camera based measurement and detection systems, (passive imaging, laser-based systems), industrial process tomography (IPT), stereoscopic imaging systems, case study.
INTELLIGENT MEASUREMENT AND MONITORING TECHNIQUES
Soft computing techniques for measurement and monitoring.
Advanced analysis: combined time and frequency domain methods. Smart sensors, 'soft' sensors, virtual instruments and systems, intelligent monitoring. Regression analysis, artificial neural network, support vector machine, fuzzy logic, pattern recognition.
INDUSTRIAL CASE STUDIES
Real-life examples of sensors, sensor systems, imaging based measurement and monitoring techniques, in particular hot-wire anemometer, piezoelectric force transducer, on-line particle sizing, pulverised fuel flow metering, on-line fuel tracking, flame stability monitoring, flame imaging, flame tomography, characterization of diesel sprays, on-line inspection of welding processes, and food grain classification/authentication.
Total contact hours: 46
Private study hours: 104
Total study hours: 150
Method of assessment
Problem solving (19.2%)
1. An understanding of the principles of measurement and instrument design.
2. An understanding of modern sensors and optical sensing systems.
3. An understanding of imaging based instrumentation systems.
4. An understanding of intelligent measurement technology.
5. The necessary skills to design and implement embedded instrumentation systems.
6. The knowledge and skills to design and implement specialised measurement and monitoring systems.