Data, Shape Analysis, Fault Detection and Diagnosis

During my PhD, I have also been involved in different projects based on data analysis for a wide range of applications. Some brief details are:

• Analysis and investigation of steam turbine system of Shanghai Electric Power Generation Equipment Co., Ltd. Turbine Plant from the perspective of fault detection and diagnosis. In this work, manifold learning is adopted for feature extraction and dimensionality reduction. Statistical process monitoring is performed afterward.
• Data from a satellite deployment project is investigated. To the aim, several machine learning and shape analysis-based methods such as Procrustes analysis are adopted to experiment with a wide range of fault cases.