Industrial-Machinery-Anomaly-Detection
Anomaly detector
Automatically detects anomalies in industrial machinery vibration data using deep learning and autoencoder techniques
Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder
47 stars
4 watching
18 forks
Language: MATLAB
last commit: about 3 years ago
Linked from 1 awesome list
autoencoderbilstmdeep-learningexamplelstmmatlabmatlab-deep-learning
Related projects:
Repository | Description | Stars |
---|---|---|
matlab-deep-learning/seven-segment-digit-recognition | Automates digit recognition in images of seven segment displays | 7 |
matlab-deep-learning/pretrained-efficientdet-d0 | Provides pre-trained and customizable object detection capabilities using an efficient neural network architecture | 15 |
technica-corporation/microbit-ml | An IoT device detects anomalies in tri-axial accelerometer data to prevent equipment failure and damage | 8 |
bharath272/sds_eccv2014 | A Matlab implementation of simultaneous object detection and segmentation using deep learning techniques. | 96 |
matlab-deep-learning/pretrained-resa-network-for-road-boundary-detection | A MATLAB implementation of a deep learning-based road boundary detection system using a pre-trained RESA model. | 3 |
matlab-deep-learning/pretrained-yolov8-network-for-object-detection | Pretrained YOLO object detection networks for real-time performance with good detection quality in MATLAB | 30 |
mirsking/deep_learning_for_detectin_robotic_grasps | Research code for detecting robotic grasps using deep learning algorithms | 42 |
matlab-deep-learning/abnormal-eeg-signal-classification-using-cnns | Develops and trains a deep neural network to classify EEG signals as normal or abnormal | 50 |
matlab-deep-learning/pretrained-yolov9-network-for-object-detection | Provides pre-trained YOLO object detection networks in MATLAB for real-time performance with good detection quality. | 6 |
matlab-deep-learning/pretrained-spatial-cnn | An implementation of a deep learning-based lane detection model in MATLAB using a pre-trained Spatial-CNN architecture. | 24 |
matlab-deep-learning/lidar-object-detection-using-complex-yolov4 | Provides pre-trained deep learning models for object detection in point clouds using complex YOLOv4 architecture | 22 |
matlab-deep-learning/pretrained-yolo-v4 | Pretrained deep learning object detection model for image analysis in MATLAB | 50 |
matlab-deep-learning/convmixer-patches-are-all-you-need | Demonstrates how to implement and train a ConvMixer architecture for image classification in MATLAB | 6 |
apress/matlab-machine-learning | Source code accompanying a textbook on machine learning in MATLAB | 84 |
chenjoya/vehicle_detection_recognition | A Matlab project for vehicle detection and recognition using deep learning techniques. | 202 |