Articles
“Rock”-ing It In Egypt

“Rock”-ing it in Egypt

By Kaija Wilkinson | November 1, 2023
Posted in | |

Entire new cities are rising in northeast Africa, and TK Elevator is among VT companies seizing the opportunity.

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Cairo Liftech Show to Return

Cairo Liftech Show to Return

By Amir Shokry | November 1, 2023
Posted in |

Press event reveals details of March 2024 show and new initiatives.

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From Near and Far

From Near and Far

By Bülent Yılmaz | November 1, 2023
Posted in |

Even as we watch the world’s news unfold with caution, there are many signs of optimism in the global VT industry.

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It’s Baby Boomers’ Fault

It’s Baby Boomers’ Fault

By Ricia Sturgeon-Hendrick | November 1, 2023
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Elevator installers and repairers have the highest wages in the construction industry, but we still can’t find enough of them.

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Safety, Reliability and Innovation

Safety, Reliability and Innovation

By Simone Dauer | October 5, 2023
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Mayr power transmission presents elevator brakes at Interlift 2023 and reflects on company values.

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Monolith Publishes First-Ever "State of AI in Engineering" Study

Monolith Publishes First-Ever “State of AI in Engineering” Study

By Monolith | October 5, 2023
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Survey finds nearly 70% of engineering executives feel pressure to adopt AI.

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A Move Toward Standardization

A Move Toward Standardization

By Liftinstituut | October 5, 2023
Posted in | |

European Union updates machinery standards with the new Machinery Regulation.

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Open Data Platform for Lift Optimized Service

Open Data Platform for Lift Optimized Service

By David Abadía, Ricardo Salillas, Alfredo Gómez, Ricard Bou, Pedro Fernández, Lorenzo Beltrán | October 5, 2023
Posted in | |

A consortium made up of Ascensores Beltrán, MP Ascensores, Nayar and ITAINNOVA is working on the development of an open platform for lift optimized services.

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Condition Monitoring of Elevators Using Deep Learning and Frequency Analysis Approach

By Krishna Mohan Mishra, John-Eric Saxen, Jerker Bjorkqvist and Kalevi J. Huhtala | October 5, 2023
Posted in | |

In this research, we propose an automated deep learning feature extraction technique to calculate new features from fast Fourier transform (FFT) of data from an accelerometer sensor attached to an elevator car.

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Schwelm Symposium 2023

Schwelm Symposium 2023

By Undine Stricker-Berghoff | October 5, 2023
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The “hottest” elevator date in Germany

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