Xen.AI PdM (Predictive Maintenance)

Xen.AI PdM is an Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning based customizable solution for Predictive Maintenance, Predictive failure detection and Anomaly detection.

Overview
Overview

Predictive maintenance (PdM) is maintenance that monitors performance and condition of the equipment during normal operation to reduce the likelihood of failures. Predictive maintenance evaluates the condition of equipment by performing periodic (offline) or continuous (online) equipment condition monitoring. The ultimate goal of the approach is an ability to predict when equipment failure could occur (based on certain factors), and to perform maintenance at a scheduled point in time prior to this, i.e. when the maintenance activity is most cost-effective and before the equipment loses performance.

Benefits

Xen.AI PdM solution can be helpful in a wide variety of industry fields, for example, automotive, railway, manufacturing, oil and gas, network infrastructure management, finance, advertising etc. Possible positive outcomes include:

  • Ability to predict and monitor potential maintenance or failures and plan all related actions in advance.
  • Make very specific part replacement rather than a costly bulk screening of all potential causes.
  • Timely detection of failures can help reduce the amount of unplanned downtime repairs and relevant costs.
  • Increase the customer satisfaction and retention.
  • Increase the company revenue.
Benefits

 

For more information, please download the :
 
Brochure:            Datasheet:        Text Version
 

 

 
Please see our use case slides and demo applications:
 
Anomaly detection demo application
 
Remaining useful time demo application
 
Vibration Analysis slide

 

Our domain experts can help develop custom solutions and applications using Artificial Intelligence technologies.