{"id":20831953,"url":"https://github.com/themuhd/vibration-sensor-fault-detection","last_synced_at":"2026-04-29T12:36:30.004Z","repository":{"id":194606481,"uuid":"691203272","full_name":"themuhd/Vibration-Sensor-Fault-Detection","owner":"themuhd","description":"Fault prediction performed from data on twenty vibration sensor readings","archived":false,"fork":false,"pushed_at":"2023-09-13T17:57:12.000Z","size":6690,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-12-26T01:43:45.431Z","etag":null,"topics":["machine-learning","predictive-analytics","predictive-modeling","python","seaborn-plots","sensor-readings"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/themuhd.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-09-13T17:44:46.000Z","updated_at":"2023-09-13T18:18:29.000Z","dependencies_parsed_at":"2023-09-14T08:34:45.924Z","dependency_job_id":"9ef71fa6-0e08-4ddb-a4a4-df5c0b64e859","html_url":"https://github.com/themuhd/Vibration-Sensor-Fault-Detection","commit_stats":null,"previous_names":["themuhd/vibration-sensor-fault-detection"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/themuhd/Vibration-Sensor-Fault-Detection","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/themuhd%2FVibration-Sensor-Fault-Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/themuhd%2FVibration-Sensor-Fault-Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/themuhd%2FVibration-Sensor-Fault-Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/themuhd%2FVibration-Sensor-Fault-Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/themuhd","download_url":"https://codeload.github.com/themuhd/Vibration-Sensor-Fault-Detection/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/themuhd%2FVibration-Sensor-Fault-Detection/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32426586,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-29T12:24:25.982Z","status":"ssl_error","status_checked_at":"2026-04-29T12:24:24.439Z","response_time":110,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["machine-learning","predictive-analytics","predictive-modeling","python","seaborn-plots","sensor-readings"],"created_at":"2024-11-18T00:09:39.019Z","updated_at":"2026-04-29T12:36:29.985Z","avatar_url":"https://github.com/themuhd.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Vibration-Sensor-Fault-Detection\nFault prediction performed from data on twenty vibration sensor readings\n\n\n\n## Dataset\nThe dataset, FaultDataset.csv, consists of multiple rows, each containing twenty vibration sensor readings. The final column in the dataset is the target variable, where:\n\n0 indicates that there was no fault with the machine at the time of the readings.\n1 indicates that a fault was identified in the machine during the readings.\n## Project Objective\nOur primary objective is to develop a predictive maintenance model using machine learning techniques. By analyzing the sensor data, we aim to create a classification model that can accurately predict whether a fault exists in the machinery based on the vibration sensor readings.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthemuhd%2Fvibration-sensor-fault-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthemuhd%2Fvibration-sensor-fault-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthemuhd%2Fvibration-sensor-fault-detection/lists"}