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Health management and failure prediction to monitor component lifetime

Záznam webináře | 43 minut

Quantify the remaining useful lifetime of components under real-use conditions

Health management and failure prediction

“An ounce of prevention is better than a pound of cure” – is a saying that has practical application for manufacturers aiming to mitigate damages before they become bigger issues. By monitoring the component lifetime, Simcenter solutions help OEMs to move towards predictive & preventive measures using prognostic health management and failure prediction methods.

During this webinar, we explain how prognostic health management and failure prediction methodologies are applied to quantify the remaining useful lifetime (RUL) of components, subsystem and machines under its specific real-use conditions – instead of determining the ultimate lifetime on a statistical average.

Data analytics and virtual sensing technology are used to gather deeper system insight during condition monitoring. By connecting the real data with system simulation or CAE 3D simulation in a digital twin, we can take targeted preventive actions before a predicted failure occurs.

Probíraná témata:

  • Identify potential problems in advance and locate components that are likely to fail
  • Alert maintenance teams before a predicted failure
  • Reduce failures and increase operability time of equipment