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Wu, Z.Y., Guo, B., Axita, Tian, X. and Zhang, L. (2020) A Dynamic Condition-Based Maintenance Model Using Inverse Gaussian Process. IEEE Access, 8, 104-117.
https://doi.org/10.1109/ACCESS.2019.2958137

has been cited by the following article:

• TITLE: Research on Fault Prediction for Marine Diesel Engines

  AUTHORS: Zhengyang Qi, Yunsong Qi, Guangpeng Hu

  KEYWORDS: Condition-Based Maintenance, Series Events, Fault Prediction, Marine Diesel Engine

  JOURNAL NAME: Journal of Computer and Communications, Vol.8 No.8, August 26, 2020

  ABSTRACT: Condition-based maintenance based on fault prediction has been widely concerned by the industry. Most of the contributions on fault prediction are based on various sensor data and mathematical models of the equipment. The complexity of the model and data signal is the key factor affecting the practicability of the model. In addition, even for the same type and batch of equipment, the manufacturing process, operation environment and other factors also affect the model parameters. In this paper, a series event model is conducted to predict the fault of marine diesel engines. Numerical example illustrates that the proposed event model is feasible.