Algorithmic method of analysis of time series data for definition of prognostic parameters of engine fault

摘要：

The paper describes an algorithmic method for predicting the failure of internal combustion engines. The method is based on the construction of discrete series of sequences of wavelet coefficients of vibration signals and their analysis in terms of Kolmogorov complexity and entropy. The main principles of the computing program of preventive diagnostics are discussed.

关键词： Kolmogorov complexity entropy engine fault prognosis preventive diagnostics

作者: Alexandr Kirillov Olga Kirillova Sergey Kirillov

作者单位: Smart Tech Appl R&D Center,GRID Motors Laboratory Vitebsk, Belarus SmartTech Appl R&D Center,Dimitrovgrad, Russia

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)

会议地点: 哈尔滨

会议语种:英文

页码: 138-142

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）