We study the problem of sensor placement for maximum structural fault detection and isolation in systems with a graphical structure. In particular, we consider flow networks and sensor networks. We are interested in placing as few sensors as possible. We get efficient approximation algorithms and exact algorithms for computing a smallest sensor set for maximum structural fault detectability and...

Wireless Sensor Networks (WSN) are useful for monitoring of physical conditions and passing the data gathered to the required location. They are like any other system prone to failure due to limitation of resources. In this paper we address fault tolerance concept in general, give analysis to the definition of fault tolerance and terms related to it based on the system requirements. We explored...

A general active fault-tolerant control framework is proposed for nonlinear systems with sensor faults. According to their identifiability, all sensor faults are divided into two classes: identifiable faults and non-identifiable faults. In the healthy case, the control objective is such that all outputs converge to their given set-points. A fault detection and isolation module is firstly built,...

Received Jan 29, 2017 Revised Mar 29, 2017 Accepted Apr 10, 2017 Recently, research has picked up a fervent pace in the area of fault diagnosis of electrical vehicle. Like failures of a position sensor, a voltage sensor, and current sensors. Three-phase induction motors are the “workhorses” of industry and are the most widely used electrical machines. This paper presents a scheme for Fault Dete...

The paper presents a systematic design of fault-tolerant measurement systems for linear time-invariant processes. The discussed methods utilize analytic redundancy of the underlying process. Two multivariable linear model types (PCA for static and ARX for dynamic modeling) are considered. Both model types can be directly identified from the measured process data. Analysis of the primary and str...

A fault diagnosis and compensation problem for two-dimensional discrete time systems with time-varying state delays is studied in this paper. The concerned two-dimensional systems are described by the Fornasisi– Marchesini second model and are subject to unknown disturbances. First, a fault detection and diagnosis module is designed to obtain the information on sensor faults; a new fault detect...

Sensor data fusion plays an important role in fault diagnosis. Dempster-Shafer (D-R) evidence theory is widely used in fault diagnosis, since it is efficient to combine evidence from different sensors. However, under the situation where the evidence highly conflicts, it may obtain a counterintuitive result. To address the issue, a new method is proposed in this paper. Not only the statistic sen...

A Wireless Sensor Network (WSN) is a special case of wireless ad hoc network consisting of a large no of Sensor Nodes(SNs) where each SN consists of a microcontroller, memory, battery unit together with a communication interface. WSNs are having a variety of applications in industrial, medical and military areas. Sensing is performed by the SNs and sensed data is processed and shared via a radi...

Sensor nodes are prone to failure due to energy depletion and some other reasons in Distributed Sensor Networks (DSNs). In this regard fault tolerance of network is essential in distributed sensor environment. Energy efficiency, network or topology control and faulttolerance are the most important issues in the development of next-generation DSNs. This paper proposes a node fault detection and ...

This paper presents data fusion algorithm of fault diagnosis considering sensor measurement uncertainty. Random-fuzzy variables (RFV) are used to model testing patterns (TPs) and fault template patterns (FTPs) respectively according to on-line sensor monitoring data and typical historical sensor data reflecting every fault mode. A similarity measure is given to calculate matching degree between...