A Multiple Model Prediction Algorithm for CNC Machine Wear PHM

Huimin Chen 1

1 Department of Electrical Engineering, University of New Orleans, New Orleans, LA, 70148, U. S. A.

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hchen2@uno.edu

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Annual Conference of the Prognostics and Health Management Society – PHM Data Challenge 2018

PHM DATA CHALLENGE 2018

A Collaborative Data Library for Testing Prognostic Models

Joanna Sikorska1, Melinda Hodkiewicz2, Ashwin D’Cruz3, Lachlan Astfalck4, and Adrian Keating5

1CASWA, 2/33 Horus Bend, Bibra Lake, Perth, Western Australia, 6163, Australia

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(jo@caswa.com)

2 The University of Western Australia, School of Mechanical and Chemical Engineering, Mail Bag M050, Western Australia, 6009, Australia, (melinda.hodkiewicz@uwa.edu.au)

3 The University of Western Australia, School of Mechanical and Chemical Engineering, Mail Bag M050, Western Australia, 6009, Australia, (ashwin.dcruz@uwa.edu.au)

4 The University of Western Australia, School of Mechanical and Chemical Engineering, Mail Bag M050, Western Australia, 6009, Australia, (Lachlan.astfalk@uwa.edu.au)

5 The University of Western Australia, School of Mechanical and Chemical Engineering, Mail Bag M050, Western Australia, 6009, Australia, (adrian.keating@uwa.edu.au)

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REVIEW OF DATA-DRIVEN PROGNOSTICS AND HEALTH MANAGEMENT TECHNIQUES: LESSIONS LEARNED FROM PHM DATA CHALLENGE COMPETITIONS

Bin Huang, Yuan Di, Chao Jin and Jay Lee

NSF I/UCRC for Intelligent Maintenance Systems (IMS)

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University of Cincinnati

560 Baldwin Hall

University of Cincinnati

Cincinnati, OH 45221

Telephone: (513) 556-4650

huangba@mail.uc.edu

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Review of PHM Data Competitions from 2008 to 2017: Methodologies and Analytics

Xiaodong Jia1, Bin Huang2, Jianshe Feng3, Haoshu Cai4, Jay Lee5

1,2,3,4,5 NSF I/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinnati, PO Box 210072, Cincinnati, Ohio 45221-0072, USA

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jiaxg@mail.uc.edu

huangba@mail.uc.edu

fengje@mail.uc.edu

caihu@mail.uc.edu

lj2@ucmail.uc.edu

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