AI for predictive maintenance_train

From Vibration Monitoring to Predictive Maintenance: Detecting Failures Before They Happen

Vibracafé

Don’t miss our Vibracafé during Innotrans
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Date: Wednesday 23/09/2026 9:30 AM, Tuesday 24/09/2026 3:30 PM

Location: Vibratec, Hall 5.2, booth 150

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    Description

    Unexpected failures lead to service disruptions, increased maintenance costs, and reduced fleet availability. Yet many mechanical issues can be detected long before they become critical through vibration and acoustic monitoring.

    During this VibraCafé, Vibratec experts will present practical approaches to early fault detection, combining field measurements, vibration analysis, acoustic monitoring, and numerical simulations to identify the root causes of mechanical defects and optimize maintenance strategies.

    Discover how VibraAcquis, our portable vibration and acoustic measurement system, enables fast, reliable data acquisition directly in operational conditions, providing valuable information for preventive and predictive maintenance.

    Real-world case studies will illustrate how these techniques help operators improve fleet reliability, reduce unplanned downtime, and make better-informed maintenance decisions.

     

    Who should attend?

    This session is intended for:

    • Railway Operators
    • Metro and Tramway Operators
    • Rolling Stock Owners
    • Fleet Maintenance Managers
    • Reliability Engineers
    • Condition Monitoring Specialists
    • Rolling Stock Engineers
    • Asset Managers
    • Maintenance & Depot Managers
    • Technical Directors

     

    This event is designed to

    Share practical experience on how vibration and acoustic monitoring can support condition-based and predictive maintenance, improve fleet availability, and detect emerging failures before they impact operations.

    Don’t miss this opportunity to gain valuable insights and exchange experiences with industry experts. Together, we can build more reliable, safer, and more efficient railway operations.