Intelligent Fault Diagnosis and Prognosis Solution for Rotating Machinery Cranfield University

Overview

This Intelligent Fault Diagnosis and Prognosis Solution for Rotating Machinery programme offered by Cranfield University aims to develop, evaluate, and demonstrate an intelligent diagnosis and prognosis solution for rotating machinery. The research is intended to improve safety, reliability, maintainability, and readiness through condition-based maintenance approaches that use process performance measurements to predict maintenance requirements and reduce downtime and associated costs.

Key Facts

The project involves experimentation using a comprehensive test-bed and investigates techniques including vibration analysis, current signature analysis, acoustic emission analysis, and wear and oil analysis. Research addresses faults in bearings, cracked shafts, gearboxes, belt drives, reciprocating mechanisms, mechanical rubs, induction motors, pumps, compressors, and fans. Students will work with specialists in prognostics and condition monitoring within Cranfield University's Integrated Vehicle Health Management (IVHM) Centre and its collaborative industrial research environment.