The Sachsenmilch Leppersdorf dairy, near Dresden in Germany, installed Siemens’ Senseye Predictive Maintenance solution to reduce downtime by predicting failures before they happen (Image: Siemens) ...
Walk into almost any industrial facility that has invested in a predictive maintenance program and ask how it’s going. The ...
With 54% of fleet leaders ranking asset maintenance as their top 2026 challenge, predictive maintenance and AI are taking ...
As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
Catch up on some of the most popular podcasts on maintenance planning, CMMS, PM optimization, and plant leadership.
I thought I had missed something major in my reporting. Turns out I had stumbled into an AI-fueled feedback loop that ...
Abstract: An integration of renewable power sources, power electronic devices, nonlinear and unbalanced loads cause power quality (PQ) problems. Mitigating PQ issues in distribution system is critical ...
Contribute to the progress of engineering and science by solving key industry challenges! Are you looking for a design or research project idea with real industry relevance and societal impact?
Apply(This will open in a new window from which you will be automatically redirected to an external site after 5 seconds) Aalto University is where science and art meet technology and business. We ...
Abstract: Aiming to take full advantage of Electric Vehicles’ (EVs) batteries, this paper proposes a two-level hierarchical model predictive controller coupled with an innovative charging-discharging ...
The integration of digital twin technology into wind turbine maintenance represents a significant advancement in the renewable energy sector. By enabling real-time monitoring and predictive analytics, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results