Machining process monitoring at PWC by using machine learning and advanced artificial intelligence techniques

Pratt & Whitney Canada (PWC) seeks to improve the monitoring of its machining process aiming to reduce cost and prevent the tools, workpieces and machine damages during the machining. To achieve this improvement, data mining and advanced artificial intelligence technique which called Logical Analysis of Data (LAD) is used. LAD has ability to identify conditions of tools and of determining which machining conditions can indicate the tool failure or degradation is happening, and which can be considered redundant. Moreover, LAD provides a classification tool that can be used to diagnose and mapping the machining conditions in order to identify which parameter affects the quality and geometric profile of the machined part. A robust machining monitoring system especially for critical rotating parts will keep the quality of the process under control and highlight any deviations in closed-door process.

Faculty Supervisor:

Soumaya Yacout

Student:

Yasser Shaban

Partner:

Pratt & Whitney Canada

Discipline:

Mathematics

Sector:

Manufacturing

University:

Polytechnique Montréal