Fault detection and isolation
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
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- enFault 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
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- enFault 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.
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- Artificial Neural Networks
- Autoencoder
- Backpropagation
- Beating frequency
- Canonical correlation
- Category:Control theory
- Category:Systems engineering
- Compressor
- Condition-based maintenance
- Continuous wavelet transform
- Control engineering
- Control reconfiguration
- Control theory
- Convolutional neural network
- Corrective maintenance
- Curse of dimensionality
- Data pre-processing
- Dataset
- Deep belief network
- Deep learning
- Deep neural networks
- Dimensionality
- Failure mode and effects analysis
- Fast Fourier transform
- Fault (technology)
- Fault-tolerant system
- File:Fault Detection Aircraft.png
- File:Time domain waveform and CWTS of a normal signal comparison.png
- File:Typical cnn.png
- Frequency spectrum
- Gabor transform
- Gas turbine
- Gearbox
- Harmonics
- Integrated vehicle health management
- Kernel method
- Kernel methods
- K-nearest neighbors algorithm
- Linear discriminant analysis
- Machine learning
- Machinery
- Maintenance, repair and operations
- Mathematical model
- Mechanical bearing
- Mechanical engineering
- Multilayer perceptron
- Overfitting
- Planned maintenance
- Predictive maintenance
- Preventive maintenance
- Principal component analysis
- Redundancy (engineering)
- Restricted Boltzmann machine
- Revolutions per minute
- Scalogram
- Sidebands
- Signal
- Spread-spectrum time-domain reflectometry
- Statistical classification
- Steel plate
- STFT
- Supervised learning
- Support Vector Machine
- System identification
- Thermal imaging
- Time domain reflectometry
- Training set
- Vibration
- Wavelet analysis
- Wind turbine
- SameAs
- 4jR4i
- FDIR
- m.05b1jwl
- Q5438153
- 故障檢測和隔離
- SeeAlso
- Deep learning
- Machine learning
- Subject
- Category:Control theory
- Category:Systems engineering
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