Intelligent Predictive Maintenance (IPdM) for Elevator Service- Through CPS, IOT&S and Data Mining

DOI

10.2991/iwama-16.2016.1How to use a DOI?

Keywords

Industry 4.0; CPS; IOT&S; Big data/ Data Mining; Elevator service; Smart elevator

Abstract

With the rapid economic growth and urbanization development, most of elevator production and service companies have completely changed their service policy opting to eliminate the standard preventive service policy. They now provide some form of predictive service policy and emphasize that they utilize remote monitoring of elevators to detect faults and estimate when components may need to be maintained due to actual usage. However, most of them are not true predictive maintenance policy. They merely a preventive, slightly enhanced, usage-based program. What is the future of elevator production and service companies? This paper will challenge the word "predictive maintenance" and present the framework of intelligent predictive maintenance system for smart elevator service based on industry 4.0 concepts.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kesheng Wang
AU  - Guohong Dai
AU  - Lanzhong Guo
PY  - 2016/11
DA  - 2016/11
TI  - Intelligent Predictive Maintenance (IPdM) for Elevator Service- Through CPS, IOT&S and Data Mining
BT  - Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation
PB  - Atlantis Press
SP  - 1
EP  - 6
SN  - 2352-5428
UR  - https://doi.org/10.2991/iwama-16.2016.1
DO  - 10.2991/iwama-16.2016.1
ID  - Wang2016/11
ER  -