Fault diagnosis (FD) and data fusion (DF) technologies implemented in the LabVIEW program were used for a ruthenium dioxide pH sensor array. The purpose of the fault diagnosis and data fusion technologies is to increase the reliability of measured data. Data fusion is a very useful statistical method used for sensor arrays in many fields. Fault diagnosis is used to avoid sensor faults and to me...

Fault detection and isolation (FDI) logic plays a crucial role in enhancing the safety and reliability, and reducing the operating cost of aircraft propulsion systems. However, it is a challenging problem achieving the FDI task with high reliability. For this purpose, various approaches have been proposed in the literature. In an on-line engine fault diagnoses, two tasks may use Kalman filter t...

due to their inherent sensitivity to resistivity contrast, em methods have an important role in detection of fault zones. in this paper, we experienced controlled source tensor magnetotelluric (cstmt) method to recognize a fault zone in bam area. an earthquake devastated the town of bam on 26 december 2003. surface displacements reveal that over 2 m of slip occurred at depth on a fault that had...

A fault diagnosis method for sensor fault based on ensemble empirical mode decomposition (EEMD) energy entropy and optimized structural parameters least squares support vector machine (LSSVM) is put forward in this paper. Firstly, the original output fault signals are pretreatment with EEMD, and then the EEMD energy entropy is extracted as the fault feature vector. Then the radial basis functio...

Today wireless sensor networks (WSNs) emerge as a revolution in all aspects of our life. WSNs have unique specifications of themselves that describe them different from other networks. Fault tolerance is one of the most significant of many challenges in these networks. Five key features need to be considered when developing WSN solutions: scalability, security, reliability, self-healing and rob...

AbstractIn this paper, a robust sensor fault detection and isolation (FDI) method based on the unknown input observer (UIO) approach is presented. The basic principle of unknown input observers is to decouple disturbances from the state estimation error. A single full-order observer is designed to detect sensor faults in the presence of unknown inputs (disturbances). By doing so, we generate a ...

Ad Hoc Wireless sensor networks are used in many domestic and critical applications including military, medical, pervasive and ubiquitous computing. Maintenance of wireless sensor networks is of primary concern. Therefore, fault management techniques are devised to avoid network partitioning. This paper proposes a new scheme for fault management in wireless sensor networks. The new technique is...

To improve the reliability of the motion control system for an autonomous underwater vehicle (AUV), sensor fault tolerant control based on replace control was talked about. This paper analyzed the decoupling controller and the sensor system firstly, and proposed a fault tolerant control strategy based on the ideas of replacing the fault sensor outputs by the sliding-mode observer outputs (also ...

—A large number of sensors are deployed in smart grid for monitoring and metering of the power equipment and other key facilities as well as users’ behavior. The collected information is sent to data processing center for analyzing and processing. Because of the relatively complicated and harsh working conditions of sensors in smart grid, sensor fault occurs frequently. To ensure the normal ex...

This paper presents a unified fault isolation scheme for process faults and sensor faults in a class of nonlinear uncertain systems. The proposed fault diagnosis architecture consists of a fault detection estimator and a bank of isolation estimators, each corresponding to a particular fault type. Based on the class of nonlinear systems and fault types under consideration, adaptive thresholds ar...