• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • IEEE.org
  • IEEE Xplore
  • IEEE Standards
  • IEEE Spectrum
  • More Sites

IEEE Potentials Magazine

The magazine for high-tech innovators

  • Home
  • Theme
    • Features
    • Columns/Departments
  • About Us
  • Contact
  • Associated Links
    • Potentials at IEEE Students
    • Potentials Media Guide

An Internet of Things based lift predictive maintenance system

January 1, 2021 by Xiaoping Ma, Lee Chengkai, Kim Hock Ng, and Hwee-Pink Tan

Image of two elevators side by side, one open, one with caution tape.
WARNING TAPE: ©SHUTTERSTOCK/VECTORPOCKET.
GOLD ELEVATOR: ©SHUTTERSTOCK/VECTORPOCKET

Lift (or elevator) breakdowns cause huge inconveniences to city dwellers and affect more than 80% of Singapore’s residents who live in high-rise apartments. Unfortunately, lift maintenance today is either preventive (e.g., follows a fixed cycle based on statistics) or reactive (the faults are fixed after they happen).

As symptoms typically manifest over some time before a breakdown happens, with the Internet of Things (IoT), massive amounts of data can be reliably collected from lifts fitted with myriad sensors. By applying artificial intelligence (AI) technologies to these data, along with operational data, such as fault records collected when a breakdown happens, predictive lift maintenance is now possible, empowering technicians to fix the lifts before they break down.

For more about this article see link below.

https://ieeexplore.ieee.org/document/9307328

 

Filed Under: Past Features

Primary Sidebar

Current Issue

Get the entire issue now.

About the Magazine

IEEE Potentials Magazine is the publication dedicated to undergraduate and graduate students and young professionals. IEEE Potentials explores career strategies, the latest in research, and important technical developments. Through its articles, it also relates theories to practical applications, highlights technology’s global impact, and generates international forums that foster the sharing of diverse ideas about the profession.

POPULAR ARTICLE

Characteristics of social robots: A framework for development

Social robots hold great promise for assisting both older adults with dementia and those in good health. Yet, little is known about how people want to interact with these robots. This article introduces a framework for the key features social robots should have, based on insights from a four-month study of how seniors engage with robots through conversation and interaction. We have broken these features down into principles of robot behavior, verbal communication, and nonverbal communication, while also considering factors that affect a person’s likelihood to adopt such technology. Our findings offer a starting point for refining social robots and & developing features that truly resonate with users.

Read More…

Search

Past Issues

Footer

IEEE Potentials Magazine is a member benefit for IEEE Student members.

The magazine is archived in IEEE Xplore, and articles from all issues are available for download.

Home | Sitemap | Contact & Support | Accessibility | Nondiscrimination Policy | IEEE Ethics Reporting | IEEE Privacy Policy | Terms

© Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.