{"id":24098445,"url":"https://github.com/matlab-deep-learning/fault-detection-using-deep-learning-classification","last_synced_at":"2025-05-07T19:24:42.957Z","repository":{"id":118344088,"uuid":"248592738","full_name":"matlab-deep-learning/Fault-Detection-Using-Deep-Learning-Classification","owner":"matlab-deep-learning","description":"This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.","archived":false,"fork":false,"pushed_at":"2022-09-06T19:43:28.000Z","size":51726,"stargazers_count":79,"open_issues_count":2,"forks_count":31,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-03-14T21:51:23.604Z","etag":null,"topics":["deep-learning","example","fault-detection","lstm","matlab","matlab-deep-learning"],"latest_commit_sha":null,"homepage":"https://www.mathworks.com/products/deep-learning.html","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/matlab-deep-learning.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2020-03-19T19:56:02.000Z","updated_at":"2024-12-24T06:56:30.000Z","dependencies_parsed_at":null,"dependency_job_id":"a1bb28d1-9397-4e6e-91c3-7b90f58cec4f","html_url":"https://github.com/matlab-deep-learning/Fault-Detection-Using-Deep-Learning-Classification","commit_stats":{"total_commits":26,"total_committers":2,"mean_commits":13.0,"dds":"0.46153846153846156","last_synced_commit":"539670f3868fbf66c51762fff8dc3843f7880242"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matlab-deep-learning%2FFault-Detection-Using-Deep-Learning-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matlab-deep-learning%2FFault-Detection-Using-Deep-Learning-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matlab-deep-learning%2FFault-Detection-Using-Deep-Learning-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matlab-deep-learning%2FFault-Detection-Using-Deep-Learning-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/matlab-deep-learning","download_url":"https://codeload.github.com/matlab-deep-learning/Fault-Detection-Using-Deep-Learning-Classification/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252942288,"owners_count":21829037,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","example","fault-detection","lstm","matlab","matlab-deep-learning"],"created_at":"2025-01-10T14:45:54.111Z","updated_at":"2025-05-07T19:24:42.934Z","avatar_url":"https://github.com/matlab-deep-learning.png","language":"C++","readme":"# Fault Detection Using LSTM Deep Learning Classification\nThis demo shows the full deep learning workflow for an example of signal data. We show how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.\n![](Images/bearingsignal.png)\n![](Images/confusionmat.png)\nWe show examples on how to perform the following parts of the Deep Learning workflow:\n- Part1 - Data Preparation\n- Part2 - Modeling\n- Part3 - Deployment\n![](Images/deeplearningworkflow.png)\nThis 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. There is also a significant data copy required the first time you run the project.\n## Part 1 - Data Preparation\nThis example shows how to extract the set of acoustic features that will be used as inputs to the LSTM Deep Learning network.\nTo run:\n1. Open MATLAB project Aircompressorclassification.prj\n2. Open and run Part01_DataPreparation.mlx\n## Part 2 - Modeling\nThis example shows how to train LSTM network to classify multiple modes of operation that include healthy and unhealthy signals.\nTo run:\n1. Open MATLAB project Aircompressorclassification.prj\n2. Open and run Part02_Modeling.mlx\n## Part 3 - Deployment\nThis example shows how to generate optimized c++ code ready for deployment. \n\nTo run:\n1. Open MATLAB project Aircompressorclassification.prj\n1. Open MATLAB project Aircompressorclassification.prj\n2. Open and run Part03_Deployment.mlx\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatlab-deep-learning%2Ffault-detection-using-deep-learning-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmatlab-deep-learning%2Ffault-detection-using-deep-learning-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatlab-deep-learning%2Ffault-detection-using-deep-learning-classification/lists"}