DeepEngine: an expert system for prediction of vehicle engine breakdown

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As the second-largest country on earth, with a population stretched from coast to coast to coast, Canada faces unique transportation challenges. As a result, the transportation industry remains a significant force in the Canadian economy. Therefore, traditional fleet management systems are gradually extended towards digitization, with new features to improve reliability, such as better maintenance planning. This research project aims to develop an Artificial Intelligent based framework that objectively and automatically analyze information recorded by the sensors embedded throughout a truck and predict whether an engine break down is going to happen in the next few weeks, well before it causes downtime. The proposed expert system will significantly impact on vehicle maintenance strategies, increase vehicle up-time, improve technician efficiency and reduce maintenance cost. In addition, the project will significantly contribute to the advancement of knowledge in machine learning research for analyzing large scale time-series data.