Mechanical Engineering Commons^™

Strategy For Health Monitoring And Fault Detection In Heavy-Duty Diesel Engines, Aniketjayant Vagha

Open Access Theses

Performance tuning, health monitoring, fault diagnosis, etc. are important aspects of testing a pre-production engine out in the field. To fulfill these tasks, a robust data-based strategy for detecting anomalies in diesel engines is proposed in this work. Such a strategy separates the healthy data from outlying, anomalous trends of faulty data. The data classifier used here is based on fundamental principles of statistical learning and derived from linear discriminant analysis.

Further efforts to improve the classification performance led to the finding that steady state data makes for a more accurate classification of the working conditions of individual trucks. Hence …