Self-Detection of Fixture Looseness in Smart Sensor Systems using Machine Learning

Development of a methodology for autonomously detecting loose mounting of vibration-based smart sensor systems using machine learning (ML). The research focuses on the following questions: 1. Can a Micro-Electro-Mechanical Systems (MEMS) based vibration sensor detect mounting looseness? 2. Can a Support Vector Machine (SVM) algorithm generalise mounting looseness detection across fixtures made of different materials?