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README.md

Predicting Heavy Equipment Failure

Hosted by: SSR Mining
Mentors: Liezl Van Wyk and Vien Dang
Student Mentor: Junbo Bao
Project Room: ORCH 4068

Summary

Proactively predict equipment failure prior to when the failure event occurs using equipment production, maintenance and alerts information.

See the project description for an in-depth summary of this project.

About

SSR Mining Inc. is a Vancouver-based mining company focused on the operation, development, exploration and acquisition of precious metal projects. It is listed under the ticker symbol SSRM on the NASDAQ Capital Markets and the Toronto Stock Exchange.