Research on Reliability Analysis Method of Industrial Control System Based on Markov Process

摘要

With the development of industrial control systems manufacture level and reliability technology in recent years, the traditional reliability prediction methods have been unable to meet the needs of product quality. The complicated system have taken the place of traditional simple equipment, maintenance, testing and common-cause failure are becoming new problem before product designers, compared to traditional methods of reliability prediction, the method based on Markov process take maintenance and testing time, common-cause failure factors into consideration, not only make the reliability analysis results more accurate, but also proves that these factors can affect the reliability of product, which can be used as the reference for equipment production engineer to improve products.