deepSignalAnomalyDetectorLSTM
Description
The deepSignalAnomalyDetectorLSTM
object uses a long short-term
memory (LSTM) autoencoder model to detect signal anomalies.
Creation
Create a deepSignalAnomalyDetectorLSTM
object using deepSignalAnomalyDetector
and specifying "lstmautoencoder"
as
the model type.
Properties
Object Functions
detect | Detect anomalies in signals |
getModel | Get underlying neural network model of signal anomaly detector |
plotAnomalies | Plot signal anomalies |
plotLoss | Plot window reconstruction loss |
plotLossDistribution | Plot CDF and histogram of aggregated window loss distribution |
saveModel | Save detector network and parameters |
trainDetector | Train signal anomaly detector |
updateDetector | Update settings of trained detector and recompute detection threshold |
Examples
Extended Capabilities
Version History
Introduced in R2023a
See Also
Functions
Objects
Blocks
- Deep Signal Anomaly Detector (DSP System Toolbox)
Topics
- Detect Anomalies in Signals Using deepSignalAnomalyDetector
- Detect Anomalies in Machinery Using LSTM Autoencoder
- Detect Anomalies in ECG Data Using Wavelet Scattering and LSTM Autoencoder in Simulink (DSP System Toolbox)
- Anomaly Detection in Industrial Machinery Using Three-Axis Vibration Data (Predictive Maintenance Toolbox)