In this paper a new fast fault simulation technique is presented for calculation of fault propagation through HLPs (High Level Primitives). ROTDDs (Reduced Ordered Ternary Decision Diagrams) are used to describe HLP modules. The technique is implemented in the HTDD RTlevel fault simulator. The simulator is evaluated with some ITC99 benchmarks. A hypothesis is proved that a test set coverage of ...

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...

[1] We present anisotropy measurements from shear wave splitting along the Hector Mine rupture zone. Six major arrays were deployed in four locations in the year following the M7.1 Hector Mine earthquake. The dense station coverage, wide distribution of the arrays, and repeated deployments show a clear predominant fast direction and spatial variation of splitting along the fault but no resolvab...

An accurate fault detection, classification and direction estimation of double end fed transmission lines based on application of artificial neural networks is presented in this paper. The proposed method uses the phase voltage and current available at only the local end of line. This method is adaptive to the variation of fault inception angle, fault location and high fault resistance. The alg...

Numerous algorithms have been provided for maintaining the topology of a ring network in a fault-free environment. But a simple, fast and effective fault-tolerant algorithm has been lacking in this field so far. In this report, we seek to address this problem and provide a detailed design to solve the problem in the general case. As our detailed analysis proves, our algorithms function very wel...

Autonomous fault detection is prerequisite for autonomous system repair which is of great value for spacecraft where human intervention is expensive, slow, unreliable, and occasionally impossible. We present a method which successfully achieves autonomous fault detection in simulation. The approach uses a nonparametric estimate of the system state updated based upon sensor measurements. Our sys...

This paper presents a method to increase the reliability of UAV sensor fault detection in a multiUAV context. The method uses additional position estimations that augment individual UAV fault detection system. These additional estimations are obtained using images from the same planar scene taken from two different UAVs. Since accuracy and noise level of the estimation depends on several factor...

In this paper, a class of single output nonlinear systems with an uncertain parameter is considered. A diffeomorphism is first introduced to simplify the system structure, then, by employing an adaptive approach to identify the unknown parameter, a sliding mode observer is developed to estimate the system state variables. Based on the observer, a fault estimation scheme is proposed based on the...

This paper presents a method of fault prognostics and reliability estimation for DC motor using time series modeling procedure based on DC motor performance degradation data. DC motor performance degradation data are treated as a time series data and stochastic process are utilized to describe the degradation process for predicting long-term trend. A degradation test is processed for DC motor u...

Abstract: This study proposes a novel fault diagnosis method that is based on empirical wavelet transform (EWT) and kernel density estimation classifier (KDEC), which can well diagnose fault type of the rolling element bearings. With the proposed fault diagnosis method, the vibration signal of rolling element bearing was firstly decomposed into a series of F modes by EWT, and the root mean squa...