Human-Centric CBM Solution for Machine Tools: From Development to Deployment
Paper in proceeding, 2025

Machine tools are essential to manufacturing for precise and efficient component production. With Industry 4.0, abundant machine condition data enables data-driven maintenance decisions. However, deploying condition-based maintenance solutions is challenging due to the diverse configurations of equipment, complex failure modes, and compatibility issues with the digital infrastructure. While machine tool health monitoring relies on detailed tests like Ballbar measurements, they consume valuable production time. To address these challenges, this article presents a human-centric development and deployment of a condition-based data-driven maintenance dashboard. The solution uses data from the controller system to improve machine tool testing in a Swedish heavy-duty vehicle powertrain facility.

machine tools

data-driven decision making

Condition-based maintenance

deployment

human-centric solutions

circularity test

Author

Mohan Rajashekarappa

Chalmers, Industrial and Materials Science, Production Systems

Ebru Turanoglu Bekar

Chalmers, Industrial and Materials Science, Production Systems

Alexander Karlsson

University of Skövde

Adalberto Polenghi

Polytechnic University of Milan

Anders Skoogh

Chalmers, Industrial and Materials Science, Production Systems

IFAC-PapersOnLine

24058971 (ISSN) 24058963 (eISSN)

Vol. 59 10 2557-2562

11th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2025
Trondheim, Norway,

Trustworthy Predictive Maintenance TPdM

VINNOVA (2022-01710), 2022-09-30 -- 2025-09-29.

Subject Categories (SSIF 2025)

Production Engineering, Human Work Science and Ergonomics

Areas of Advance

Production

DOI

10.1016/j.ifacol.2025.09.430

More information

Latest update

6/11/2026