Dr Chengwei Wang

Areas of expertise

• Aerospace Manufacturing
• Digital Twinning
• Vehicle Health Management

Background

Wang is a Research Fellow in Sensor System Simulation and Data Training at the Integrated Vehicle Health Management (IVHM) Centre, Cranfield University. He contributes to the OLLGA Project, an Innovate UK-funded collaboration with industry partners, focusing on the development of simulation tools and data generation methods for aerospace applications. Prior to this role, Wang completed a PhD in Transport Systems and an MSc in Aerospace Manufacturing at Cranfield University, specialising in Digital Twin technology and health management for aircraft systems.

His work bridges academic research and industry application, supporting advancements in aircraft reliability and maintenance planning. He is committed to advancing data-driven health management strategies for next-generation aerospace systems.

Research opportunities

Wang’s research interests include Digital Twin modelling and simulation for aerospace systems, fault diagnosis and prognostics of electromechanical actuators, and integrated health management strategies for aircraft. His work involves physics-based modelling, synthetic fault data generation, and health indicator analysis, supported by MATLAB/Simscape simulation and machine learning techniques. Application areas span flight control systems, landing gear systems, and industrial predictive maintenance solutions.

Current activities

- Conducting landing gear system load simulation

- Developing Digital Twin frameworks for system health management

- Estimating remaining useful life (RUL) of aerospace components

- Designing smart and clean intelligent systems

Clients

• BAE Systems PLC
• Safran SA
• Innovate UK

Publications

• Conference papers