The AI model-based diagnosis community has developed qualitative reasoning mechanisms for fault isolation in dynamic systems. Their emphasis has been on the fault isolation algorithms, and little attention has been paid to robust online detection and symbol generation that are essential components of a complete diagnostic solution. This paper discusses a robust diagnosis methodology for hybrid ...

Abstract— An important aspect of network management is fault management, i.e., determining, locating, isolating, and correcting faults in the network. We study modeling of communication network protocols, and their fault detection, fault identification and fault location in the discrete event systems diagnosis framework. Our approach provides a systematic way of performing fault diagnosis in ne...

Vehicles produce sound signals with varying temporal and spectral properties under different working conditions. These sounds are indicative of the condition of the engine. Fault diagnosis is a significantly difficult task in geographically remote places where expertise is scarce. Automated fault diagnosis can assist riders to assess the health condition of their vehicles. This paper presents a...

Integrated Systems Health Management includes fault detection, fault diagnosis (or fault isolation), and fault prognosis. We define prognosis to be detecting the precursors of a failure, and predicting how much time remains before a likely failure. Algorithms that use the data-driven approach to prognosis learn models directly from the data, rather than using a hand-built model based on human e...

steering assist system controls the force transfer behavior of the steering system and improves the steering probability of the vehicle. moreover, it is an interface between the diver and vehicle. fault detection in electrical assisted steering systems is a challenging problem due to frequently use of these systems. this paper addresses the fault detection and reconstruction in automotive elect...

In the building energy efficiency field, developing automatic and accurate fault detection and diagnosis methods is necessary in order to ensure optimal operations of systems and to save energy. In this paper first, fault detection analysis based on statistical methods where anomalies are detected through a comparison with neighborhood and averaged fault-free values and through a clustering tec...