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Advanced Sensors and Condition Monitoring

When you'll study it
Semester 1
CATS points
15
ECTS points
7.5
Level
Level 7
Module lead
Ling Wang
Academic year
2026-27

Module overview

Engineering increasingly relies on intelligent monitoring systems to improve performance, maximise reliability and prevent failure. From monitoring rotating machinery in industry to wearable sensors that track human movement and health, sensing technologies are transforming how engineers understand and manage complex systems. This module explores the principles and applications of condition monitoring across both engineering and biomechanical systems. You will investigate a range of maintenance strategies, international standards for condition monitoring and system integration approaches while developing an understanding of advanced sensors, instrumentation and data acquisition techniques. The module also introduces advanced signal processing methods, enabling you to extract meaningful information from measurement data and assess the health and performance of engineering systems. Throughout the module, you will strengthen your analytical, diagnostic and systems engineering skills by applying sensing technologies to real engineering applications. By the end of the module, you will be able to evaluate and design condition monitoring systems using advanced sensing and data analysis techniques, preparing you for careers in structural health monitoring, condition-based maintenance, robotics, healthcare technologies and smart engineering systems.

Linked modules

Pre-requisite: SESM3030