【信号检测】基于LSTM实现工业机器信号数据异常检测附matlab代码.zip

# Industrial Machinery Anomaly Detection This example applies various anomaly detection approaches to operating data from an industrial machine. Specifically it covers: - Extracting relevant features from industrial vibration timeseries data using the Diagnostic Feature Designer app - Anomaly detection using several statistical, machine learning, and deep learning techniques, including: - LSTM-based autoencoders - One-class SVM - Isolation forest - Robust covariance and Mahalanobis distance ## Setup This demo is implemented as a MATLAB® project and will require you to open the project to run it. The project will manage all paths and shortcuts you need. To Run: 1. Open the MATLAB Project `AnomalyDetection.prj` 2. Open Parts 1-3 on the Project Shortcuts tab <img src="Images/Data.png" height="400"> <img src="Images/ReconstructionError.PNG" height="400">