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3 results about "Fault detection and isolation" patented technology

Fault detection, isolation, and recovery (FDIR) is a subfield of control engineering which concerns itself with monitoring a system, identifying when a fault has occurred, and pinpointing the type of fault and its location. Two approaches can be distinguished: A direct pattern recognition of sensor readings that indicate a fault and an analysis of the discrepancy between the sensor readings and expected values, derived from some model. In the latter case, it is typical that a fault is said to be detected if the discrepancy or residual goes above a certain threshold. It is then the task of fault isolation to categorize the type of fault and its location in the machinery. Fault detection and isolation (FDI) techniques can be broadly classified into two categories. These include model-based FDI and signal processing based FDI.

System for real-time fault detection and localization in high-voltage electrical transmission networks

A system for real-time fault detection and isolation in a high-voltage transmission network, the system comprising: a plurality of input terminals configured to be connected to instrument transformers associated with at least one transmission line to receive analog voltage signals and analog current signals corresponding to multiple phases of the transmission line; a signal conditioning unit electrically connected to the plurality of input terminals, the signal conditioning unit comprising an isolation arrangement, a programmable gain arrangement, and an anti-aliasing filter arrangement configured to produce conditioned analog signals;a multi-channel analog-to-digital converter unit that is operationally coupled with the signal conditioning unit and configured to simultaneously sample the processed analog signals at a predetermined sampling rate to generate digitized electrical parameter data; a time synchronization unit configured to assign precise timestamps to the digitized electrical parameter data based on a reference time source;a processing unit operationally coupled with the analog-to-digital converter unit and the time synchronization unit, wherein the processing unit is configured to execute instructions for detecting abnormal electrical states by performing signal preprocessing, extracting characteristic features from the digitized electrical parameter data, comparing the extracted features with predefined operating criteria, classifying a detected fault state based on the extracted features, and determining a fault location along the transmission line; and an isolation control unit operationally coupled with the processing unit, configured to generate control signals for actuating at least one switching device to isolate a faulty section of the transmission network in response to the detected fault state.
Owner:ARUNACHALA DAMODARAN EDUKONDALU +3

Low-orbit enhanced BDS and INS tightly coupled navigation fault detection and isolation method

The application provides a low-orbit enhanced BDS and INS tight combination navigation fault detection and isolation method, introduces an FDE method based on adaptive maximum correlation entropy robust filtering, constructs a unified BDS / LEO / INS tight combination mathematical model, and studies a rough error detection and elimination method under multi-source heterogeneous observation conditions. Experimental results show that the FDE method can effectively identify and eliminate rough error satellites, significantly improve the system positioning accuracy, and compared with the BDS / INS tight combination system without using FDE, the east, north and sky direction positioning accuracy is improved by 86.56%, 77.12% and 51.80% respectively after introducing FDE; under the enhancement of LEO, the BDS / LEO / INS-FDE system is further improved to 86.95%, 82.60% and 53.94%. In addition, under the environment of low observation satellites, the introduction of LEO satellites significantly improves the satellite geometric configuration and enhances the navigation ability of the system in the case of partial BDS satellite failure, providing an effective theoretical method for continuous and reliable high-precision navigation in complex environments.
Owner:JINLING INST OF TECH

Fault detection and isolation method for intelligent power distribution system based on edge computing

ActiveCN121461597BEffectively distinguish short-lived spikesEffectively differentiate between stableFault toleranceEdge computing
The present application belongs to the technical field of intelligent detection, and particularly relates to a method for fault detection and isolation of an intelligent power distribution system based on edge computing. The method is cooperatively executed by edge nodes and edge aggregation nodes, and comprises the following three steps: Step 1, data construction and graphization preprocessing on the edge node side are executed, wherein edge nodes are arranged at each segmented position of the intelligent power distribution system, and a switch state table and a controllable switch list corresponding to a graph signal frame are formed; Step 2, graph wavelet local anomaly focusing processing, BOCPD online confirmation processing and set member estimation processing are continuously executed on the edge aggregation node side to form a minimum suspicious segment set; and Step 3, isolation and power restoration control based on the minimum suspicious segment set is executed. The present application has the characteristics of high detection accuracy, fast response speed and strong fault tolerance, and can realize millisecond-level autonomous fault isolation and power restoration control under the conditions of limited communication and complex topology, thereby effectively improving the safety, reliability and recovery efficiency of the power distribution system.
Owner:SHANDONG ENERGY GROUP JINGTAI SHENGLU NEW ENERGY CO LTD +1