Fault Detection for Sequentially Controlled Machines Using Temporal Constraint Nets
نویسنده
چکیده
A new method for fault detection is presented. It is based on a system description using temporal constraint nets. Temporal constraint nets are extended constraint nets capable of dealing with values that change with time. Faults are detected if observed behavior does not match the description. Matching is formulated as searching for solutions of the temporal constraint net. An efficient algorithm with complexity linear in the number of constraints is presented. The algorithm requires a preprocessing phase to achieve a tree-structured temporal constraint net.
منابع مشابه
Modelling and Monitoring Real-time Systems with Temporal Constraint Nets
An extension of constraint nets to temporal constraint nets is presented. Temporal constraint nets are able to describe dependencies between values varying with time. Their advantage is demonstrated in using them as a formal means for modelling and monitoring real-time systems. Fault detection in those systems is formulated as a satisfaction problem of temporal constraint nets. An eecient algor...
متن کاملStator Fault Detection in Induction Machines by Parameter Estimation Using Adaptive Kalman Filter
This paper presents a parametric low differential order model, suitable for mathematically analysis for Induction Machines with faulty stator. An adaptive Kalman filter is proposed for recursively estimating the states and parameters of continuous–time model with discrete measurements for fault detection ends. Typical motor faults as interturn short circuit and increased winding resistance ...
متن کاملDetection of high impedance faults in distribution networks using Discrete Fourier Transform
In this paper, a new method for extracting dynamic properties for High Impedance Fault (HIF) detection using discrete Fourier transform (DFT) is proposed. Unlike conventional methods that use features extracted from data windows after fault to detect high impedance fault, in the proposed method, using the disturbance detection algorithm in the network, the normalized changes of the selected fea...
متن کاملFault Detection and Classification in Double-Circuit Transmission Line in Presence of TCSC Using Hybrid Intelligent Method
In this paper, an effective method for fault detection and classification in a double-circuit transmission line compensated with TCSC is proposed. The mutual coupling of parallel transmission lines and presence of TCSC affect the frequency content of the input signal of a distance relay and hence fault detection and fault classification face some challenges. One of the most effective methods fo...
متن کاملFault Detection Method on a Compressor Rotor Using the Phase Variation of the Vibration Signal
The aim of this work is the application of the phase variation in vibration signal for fault detection on rotating machines. The vibration signal from the machine is modulated in amplitude and phase around a carrier frequency. The modulating signal in phase is determined after the Hilbert transform and is used, with the Fast Fourier Transform, to extract the harmonics spectrum in phase. This me...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1998