About: Fault detection and isolation

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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 F

Attributes	Values
rdf:type	Thing disease
rdfs:label	Fault detection and isolation (en)
rdfs:comment	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 F (en)
rdfs:seeAlso	Machine learning Deep learning
sameAs	Fault detection and isolation
dbp:wikiPageUsesTemplate	dbt:Reflist dbt:See_also dbt:Short_description
Subject	Control theory Systems engineering
thumbnail	wiki-commons:Special:FilePath/Fault_Detection_Aircraft.png?width=300
foaf:depiction
gold:hypernym	Subfield
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/Fault_detection_and_isolation?oldid=1058012948&ns=0
Wikipage page ID	21017316 (xsd:integer)
page length (characters) of wiki page	26223 (xsd:nonNegativeInteger)
Wikipage revision ID	1058012948 (xsd:integer)
Link from a Wikipage to another Wikipage	Machine Machine learning Supervised learning Support-vector machine Vibration Artificial neural network Autoencoder Backpropagation Bearing (mechanical) Statistical classification Steel Canonical correlation Control theory Systems engineering Dimension Maintenance (technical) Curse of dimensionality Deep belief network Deep learning K-nearest neighbors algorithm Linear discriminant analysis Predictive maintenance Principal component analysis Spread-spectrum time-domain reflectometry Time-domain reflectometer Compressor Continuous wavelet transform Control engineering Control reconfiguration Control theory Convolutional neural network Corrective maintenance Overfitting Restricted Boltzmann machine Revolutions per minute Spectral density Spectrogram Data pre-processing Data set Gabor transform Gas turbine Kernel method System identification Failure mode and effects analysis Fast Fourier transform Fault (technology) Fault tolerance Harmonic Integrated vehicle health management Training, validation, and test sets Transmission (mechanics) Meyer wavelet Mathematical model Mechanical engineering Multilayer perceptron Redundancy (engineering) Short-time Fourier transform Sideband Signal Thermography Wind turbine dbr:Beating_frequency
has abstract	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. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/Fault_detection_and_isolation
is Wikipage redirect of	Machine Fault Diagnosis Machine fault diagnosis Machine Fault Diagnostics FDIR Fault recovery Fault detection Fault isolation
is Link from a Wikipage to another Wikipage of	Machine Fault Diagnosis Machine diagnosis Machine fault diagnosis Machine to machine Machine Fault Diagnostics

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