WHODID: Web-based interface for Human-assisted factory Operations in fault Detection, Identification and Diagnosis
Résumé
We present WHODID: a turnkey intuitive web-based interface for fault detection, identification and diagnosis in production units. Fault detection and identification is an extremely useful feature and is becoming a necessity in modern production units. Moreover, the large deployment of sensors within the stations of a production line has enabled the close monitoring of products being manufactured. In this context, there is a high demand for computer intelligence able to detect and isolate faults inside production lines, and to additionally provide a diagnosis for maintenance on the identified faulty production device, with the purpose of preventing subsequent faults caused by the diagnosed faulty device behavior. We thus introduce a system which has fault detection, isolation, and identification features, for retrospective and on-the-fly monitoring and maintenance of complex dynamical production processes. It provides real-time answers to the questions: " is there a fault? " , " where did it happen? " , " for what reason? ". The method is based on a posteriori analysis of decision sequences in XGBoost tree models, using recurrent neural networks sequential models of tree paths. The particularity of the presented system is that it is robust to missing or faulty sensor measurements, it does not require any modeling of the underlying, possibly exogenous manufacturing process, and provides fault diagnosis along with confidence level in plain English formulations. The latter can be used as maintenance directions by a human operator in charge of production monitoring and control.
Mots clés
fault detection
identification and diagnosis
interpretability of gradient boosted tree ensemble models
industrial process monitoring
recurrent neural networks
Artificial intelligence
Feature extraction
Forestry
Learning systems
Maintenance
Multimedia systems
Websites
Computer intelligences
Fault identification
Gradient boosting
Manufacturing process
Posteriori analysis
Production monitoring
Production units
Tree ensembles
Domaines
Apprentissage [cs.LG]Origine | Fichiers produits par l'(les) auteur(s) |
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