In this paper, a sensor fault detection and isolation scheme for nonlinear systems is considered. A nonlinear diffeomorphism is introduced to explore the system structure and a simple filter is presented to ‘transform’ the sensor fault into a pseudo-actuator fault scenario. A sliding mode observer is designed to reconstruct the sensor fault precisely if the system does not experience any uncert...

Abstract: In this chapter, we introduce fault tolerance in Wireless Sensor Networks. Firstly, we start with a short description of sensor networks, fault tolerance and its different techniques. Then we discuss the different phases of fault tolerance (fault models, fault detection and identification at five levels of abstractions (physical, hardware, middleware, system software and applications)...

wireless sensor networks are composed of hundreds or thousands of small nodes called sensor that work together and are associated with a specific task or tasks to do. each of these nodes includes sensor, processor, communication components, a small memory and a source of energy. it is expected that wireless sensor networks will be used widely in many applications in near future. scalability and...

Recently, State of energy (SOE) has become one of the most fundamental parameters for battery management systems in electric vehicles. However, current information is critical in SOE estimation and current sensor is usually utilized to obtain the latest current information. However, if the current sensor fails, the SOE estimation may be confronted with large error. Therefore, this paper attempt...

Combining a simplified on-board turbo-shaft model with sensor fault diagnostic logic, a model-based sensor fault diagnosis method is proposed. The existing fault diagnosis method for turbo-shaft engine key sensors is mainly based on a double redundancies technique, and this can't be satisfied in some occasions as lack of judgment. The simplified on-board model provides the analytical third chan...

In actual application, sensors are prone to failure because of harsh environments, battery drain, and sensor aging. Sensor fault location is an important step for follow-up sensor fault detection. In this paper, two new multi-level wavelet Shannon entropies (multi-level wavelet time Shannon entropy and multi-level wavelet time-energy Shannon entropy) are defined. They take full advantage of sen...

Forest fires are amongst the significant causes threatening our environment degradation nowadays. Current fire detection systems lack the capability of fire triggering detection from its early stages. Wireless sensor networks (WSN) as a solution letting to gather sensory data measurements, such as humidity and temperature, from all points of forest continuously, and, provide reliable and depend...

n this paper, we propose an optimal fault−tolerant algorithm for distributed event detection in wireless sensor networks. Two important problems are addressed: 1. How to handle both the noise−related measurement error and sensor fault simultaneously in fault−tolerant detection? 2. How to choose a proper neighborhood size n for a sensor node in fault correction such that the maximum energy could...

Distributed fault detection in wireless sensor network is an important problem where every sensor node identifies its own fault status based on the information from its neighboring sensor nodes. This paper presents a novel distributed fault detection algorithm to detect the soft faulty sensor nodes in sparse wireless sensor networks. In the proposed scheme, every sensor node gathers the informa...