CR-DSiL/predictive-incident-management
Predictive Incident Management analyses large data sets to identify risk patterns, predict outcomes, and guide teams on effective decision-making.
This project helps operations managers and IT professionals proactively address system issues by analyzing historical incident data. It takes in past incident reports, system logs, and operational metrics, then outputs predictions of future incidents and recommendations for preventing them. This is designed for IT operations teams, reliability engineers, and incident managers who need to reduce downtime and improve system stability.
No commits in the last 6 months.
Use this if you manage complex systems and want to predict and prevent future incidents based on patterns in your past operational data.
Not ideal if you're looking for a real-time monitoring solution or a tool for immediate incident response rather than proactive prediction.
Stars
17
Forks
10
Language
Python
License
—
Category
Last pushed
Nov 25, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/CR-DSiL/predictive-incident-management"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
petrobras/BibMon
Python package that provides predictive models for fault detection, soft sensing, and process...
hustcxl/Deep-learning-in-PHM
Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction
kokikwbt/predictive-maintenance
Datasets for Predictive Maintenance
biswajitsahoo1111/rul_codes_open
This repository contains code that implement common machine learning algorithms for remaining...
tvhahn/weibull-knowledge-informed-ml
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets....