Managing your assets data

AI-Enabled Predictive Maintenance

Assessing the integrity and operation of your asset is easier with BMT DEEP, providing a more cost-effective and safer assessment.

AI-Enabled Predictive Maintenance
Contact Us

Contact Us

Key contact

Andy Brown - Offshore

Head of Business Development, North America

Andy Brown - Offshore

Head of Business Development, North America

Houston, United States

+1 281 200 3115 offshore@bmtglobal.com

South America

Joao Matheus de O. Arantes

Head of Business Development, South America

Joao Matheus de O. Arantes

Head of Business Development, South America

Brazil

+55 (12) 3937 7952 offshore@bmtglobal.com

Europe/Africa

Louise Ledgard

Director of Business Development

Louise Ledgard

Director of Business Development

Teddington, United Kingdom

+44 (0) 208 9435544 offshore@bmtglobal.com

Asia Pacific

Dale Hastings-Payne - Coastal Infrastructure

Head of Business Development, Asia Pacific

Dale Hastings-Payne - Coastal Infrastructure

Head of Business Development, Asia Pacific

Singapore

+65 6517 6800 coastal@bmtglobal.com

Predictive Maintenance

BMT DEEP monitors and hosts big data from a variety of Internet of Things (IoT) devices, sensors and sources, providing a holistic overview of an asset’s health and valuable insight for maintenance and operation teams.

Supporting unsolved problems

It is the connection between the asset and the enterprise which is able to aggregate, federate and normalise large volumes of disparate, historical and real-time operational data into a common, secure, cloud-based solution. By using BMT DEEP you can employ a whole new class of algorithms to solve previously unsolved problems. Consider the case of assessing the risk of engine failure. By characterising all relevant inputs (e.g. run hours, maintenance records, engine temperature, oil pressure, etc.) and a sufficiently large number of engine failure cases, it is possible not only to predict whether an engine is likely to fail but also to diagnose the causes of failures.

Assessing asset integrity

AI-based predictive maintenance can be used to consume data from a limitless number of sensors across a distribution network to predict equipment failure and prescribe proactive maintenance before equipment fails. BMT DEEP provides an early assessment of the factors that may have impacted the integrity and operation of your asset from a remote location, providing a safe, controlled environment for the operations teams to assess any damage early in the process. Machine or equipment failures across a fleet or network of assets, can be identified from a remote location, rather than on-site, providing a more cost-effective and safer assessment.

Data access

BMT DEEP allows a collaborative working environment, enabling data to be distributed across internal and external stakeholder networks.  Data from the asset can be accessed directly by regulatory authorities, maintenance engineers and other stakeholders in near real-time, allowing for a considerable reduction in maintenance man-hours and an increase in overall system or production availability.

Benefits:

  • Condition Monitoring
  • Planned Maintenance Optimisation
  • Spare Parts Optimisation
  • Vital early warning systems and alerts

Sectors:

  • Oil and Gas
  • Renewables
  • Mining
  • Ports
  • Rail
  • Shipping (commercial and defence)

More Applications

Request a Demo