Curated list of predictive maintenance research and repositories.
Road to predictive maintenance
- Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding Kyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, Tom Soderstrom [paper] [github]
- Anomaly Detection Resources [github ]
- Siren Platform + Kibana Alert & Report App for Elasticsearch [github]
Not yet integrated with Awesome List, will do when I finalize this repo
I highly recommend checking awesome list at github for any topic you are interested.
A curated list of resources including papers, comparitive results on datasets and relevant links related to predictive maintenance.
For contributing to this list (or any awesome list) please follow the following contribution guide:
Predictive Maintenance Explained
- IoT and PdM: Arindam Chaudhuri. "Predictive Maintenance for Industrial IoT of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine" (2018). [Paper]
- Challenges_and_Reliability_of_Predictive_Maintenance Vincent F. A. Meyer [Paper]
- Cost-Sensitive Learning for Predictive Maintenance Stephan Spiegel, Fabian Mueller, Dorothea Weismann, John Bird [Paper]
- Dataset Rare Event Classification in Multivariate Time Series Chitta Ranjan, Mahendranath Reddy, Markku Mustonen, Kamran Paynabar, Karim Pourak [Paper]
- DEEP LEARNING FOR ANOMALY DETECTION A SURVEY Raghavendra Chalapathy, Sanjay Chawla [Paper]
- PredictiveMaintenance-Faultclassification Nagdev Amruthnath [Paper]
- Predictivemaintenance-FaultDetection Nagdev Amruthnath [Paper]
- Real Time Anomaly Detection System ADSaS Sooyeon Lee, Huy Kang Kim [Paper]
- Study on Predictive Maintenance Strategy Yihai HeYihai HeChangchao GuChangchao GuZhaoxiang ChenZhaoxiang ChenXiao HanXiao Han [Paper]
- [ARAKAT]
- [Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy]
- [Predictive-Maintenance-using-LSTM]
- oil Moisture Active Passive satellite (SMAP) and the Curiosity Rover on Mars (MSL) [Dataset]
- Dataset_Description [Dataset]
