Competition - Predictive Maintenance @ Xai for Predictive Maintenance Tutorial - SIGKDD 2023

[Bruno Veloso]

Call for Participation

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We invite you to participate in our Predictive Maintenance Competition. This is the shared task of the XAI for Predictive Maintenance Tutorial on SIG KDD 2023 (https://slawomirnowaczyk.wixsite.com/kdd-xpm). 

 

Competition website: https://slawomirnowaczyk.wixsite.com/kdd-xpm

Kaggle website: https://www.kaggle.com/datasets/pattinson9999/uci-metropt-3-dataset

Important dates

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· 04/08/2023: submission deadline.

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Description 

The compressed air system is a crucial component of the train and delivers essential pressurized air to several clients like: 

·       pneumatic suspension 

·       oil injection on the rail to reduce the friction and noise on the curves 

·       injection of sand to gain traction rails 

·       connect other trains 

Requirements 

Predict a failure or detect an anomaly two hours in advance (minimum time required by the company to schedule the replacement of the faulty train). 

Description 

·       The dataset consists of more than 15 million examples 

·       Collected from February to August 2020 

·       15 features from 7 analogue (1-7) and 8 digital (8-15) sensors 

Failures 

·       Air leak: relevant sensors: tp2, tp3, h1, dv_pressure, comp, motor_current 

·       Oil leak: relevant sensors: oil_temp, oil_level 

Possible Tasks: 

·       Anomaly Detection 

·       Anomaly Explanation 

·       Failure Prediction 

·       Remaining Useful Life (RUL) 

Solution: 

·       Best Posters will be available on the XPM project website

·       Open repository with solution 

·       Send the Technical Poster to bve...@fep.up.pt

Best,

Organizers