For failure prediction and information interaction problems of multi-equipment health management, fault prediction technology of multi-equipment and multi-parameter was proposed based on the system network. The state judgment and fault diagnosis algorithm is adopted by SOM self-organizing feature map neural network, the network parameters and node structure are changed adaptively, and the real-...

Fault prediction is a new research area in FDD. It has both safety and economic benefits in technical systems by preventing future serious process fault and improving process maintenance schedules. But how to calculate the probability of fault prediction is still an open problem. This paper proposes a particle filtering (PF) based method to predict the future state’s distribution of nonlinear s...

Common mode failures create the major impact on the system reliability in many real time systems. In this paper, we incorporate the concept of common mode faults (CMF) for the reliability prediction of fault tolerant software system consisting of N-version with different failure characteristics. The common mode faults may occur simultaneously in two or more versions due to faults in the common ...

Fault-tolerance is the survival attribute of the real-time software system. The software should provide correct results in the face of various failures. A major technological concern for the coming years is the ever widening gap between the demand for high quality, robust software and its supply. Software fault tolerance is basically the design faults in the computer system. Its function is to ...

Data mining methods in software engineering are becoming increasingly important as they can support several aspects of the software development life-cycle such as quality. In this work, we present a data mining approach to induce rules extracted from static software metrics characterising fault-prone modules. Due to the special characteristics of the defect prediction data (imbalanced, inconsis...