Online Fault Detection and Isolation Method Based on Belief Rule Base for Industrial Gas Turbines

A fault detection and isolation method for complex industrial systems

Thus, in the case in question, the cooperative party will certainly be damaged. The hostile (second) party may benefit from the cooperation of the first party if and only if e 21 < e 210 or, equivalently 2 This inequality will be satisfied if and only if K2(s) is chosen such that K2(0) < 1 1 + [1 0 K 1 (0)] 2 K 1 (0)P 22 (0)G 2 (0) 1 Nevertheless, from (2) it is seen that the infimum value for ...

A fault detection method for hysteretic base-isolation systems

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 ...

Online Nonintrusive Condition Monitoring and Fault Detection for Wind Turbines

A Fault Diagnosis Method for Industrial Gas Turbines Using Bayesian Data Analysis

This paper presents an offline fault diagnosis method for industrial gas turbines in a steady-state. Fault diagnosis plays an important role in the efforts for gas turbine owners to shift from preventive maintenance to predictive maintenance, and consequently to reduce the maintenance cost. Ever since its birth, numerous techniques have been researched in this field, yet none of them is complet...

Fault Detection and Diagnosis for Gas Turbines Based on a Kernelized Information Entropy Model

Gas turbines are considered as one kind of the most important devices in power engineering and have been widely used in power generation, airplanes, and naval ships and also in oil drilling platforms. However, they are monitored without man on duty in the most cases. It is highly desirable to develop techniques and systems to remotely monitor their conditions and analyze their faults. In this w...

Model-based Approach for Multi-sensor Fault Identification in Power Plant Gas Turbines

In this paper, ‎the multi-sensor fault diagnosis in the exhaust temperature sensors of a V94.2 heavy duty gas turbine is presented‎. ‎A Laguerre network-based fuzzy modeling approach is presented to predict the output temperature of the gas turbine for sensor fault diagnosis‎. Due to the nonlinear dynamics of the gas turbine, in these models the Laguerre filter parts are related to the linear d...