Experimentation and Simulation of an IVHM Test Rig for Intelligent Fault Diagnosis

Experimental and simulation studies on fluid transport system are seldom discussed in the open literature. Nevertheless, the insights and data derived from such research can significantly mitigate the scarcity of health data from real-world systems, thereby facilitating the development of advanced physics-based and data-driven algorithms. This study employs a test rig located at the IVHM Centre, Cranfield University, for experimental investigations. Based on the experimental results, an almost entirely data-driven simulation model was developed. Additionally, a case study was conducted to validate the capability of the developed simulation model and its benchmark data in supporting the creation of machine learning based fault diagnosis algorithms. The findings from this work have potential applications for a broad audience, including researchers and scholars in the fields of fluid transport system analysis, fault diagnosis, and data-driven classification algorithms.