In this paper, the nonlinear mapping relation between the transient energy margin and the generator power at different fault clearing time and load levels was established by using the self-organizing feature map. Lyapunov’s direct method was used as a fast method to obtain the training set of the neural network. The transient security power limits of the generator at different fault clearing ti...

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 ...

In this article, a novel and accurate scheme for fault detection, classification and fault distance estimation for a fixed series compensated transmission line is proposed. The proposed scheme is based on artificial neural network (ANN) and metal oxide varistor (MOV) energy, employing Levenberg-Marquardt training algorithm. The novelty of this scheme is the use of MOV energy signals of fixed se...

In this paper, a novel technique is applied to detect fault in the transmission line using wavelet transform. Three phase currents are monitored at both ends of the transmission line using global positioning system synchronizing clock. Wavelet transform, which is very fast and sensitive to noise, is used to extract transients in the line currents for fault detection. Fault index is calculated b...

This paper develops the intelligent fault diagnosis system of reciprocating pump. The system takes fault diagnosis system as the core, using the Visual c++ as the software language. The software controls the data acquisition of pressure, position and flow signal synchronously. The different fault types corresponding signal curve is also different, so the main fault signal is pressure signal, fl...

This paper proposes a fault detection method for hysteretic base-isolation systems. One of the key contr butions of this work is a Lyapunov-based restoring force observer that leads to the design of a robust fault detection scheme. The different fault types considered are stiffness and damping variations in the system. The proposed fault estimation method provides a direct estimate of the size ...

This paper considers a practical approach to model-based fault diagnostics. The fault estimation is performed by a delayed FIR lter that is designed as a noncausal Wiener lter. The approach is demonstrated using a case study of a process upset in a separation column in a petrochemical plant. The designed fault estimator demonstrates early and reliable detection of the fault. It presents a concl...

The wavelet de-noising technique with wavelet based function has been used in this paper for bearing fault detection. The applications of the wavelet de-noising show that the fault pulses in time-domain of the de-noised signals are easily to be detected as a result of removing the covering noise, which is not possible through the time-domain analysis of the original signal. Furthermore, the rec...

ABSTACT: In the present scenario every industry need Condition Based Monitoring System to avoid unwanted faults in the process components. Vibration condition monitoring technique is widely used for fault detection. Vibration monitoring is the most reliable method of assessing the overall health of a motor system. In this paper we work on 2 Hp inductions motor. Ball bearing fault is widely occu...