Condition Monitoring for Rotating Equipment

Monitoring the condition of assets in harsh environments in real-time.

Condition Monitoring for Rotating Equipment
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

Condition Monitoring for Rotating Equipment

Rotating and reciprocating equipment is widely used across many industries, and is typically designed to work around the clock in harsh environments. Failures can be frequent, time-consuming and costly.

Progress in condition monitoring and predictive maintenance strategies to address machine and component failures has been assisted by advances in IoT and Cloud Computing which allow more data to be collected, processed, and analysed quicker and more efficiently, providing greater insights into the data than ever before.

Value of Condition Monitoring

The value of condition monitoring and predictive maintenance strategies for rotating and/or reciprocating machinery is the ability to visualise and analyse an asset’s performance, wear and/or mechanical risks in near real-time. Sensor data such as vibration, temperature and running speed, collected and analysed can determine if a machine or any of its components experience changes in performance while in operation.

Processing collected data at high sampling rate and characterising the defects based on the signals can highlight any deviations from the normal operational range, raising alarms to operators and triggering an immediate response.

 

Predictive maintenance can be considerably more efficient and cost-effective than preventive maintenance tactics, wherein maintenance is performed on a regularly scheduled basis. The ability to respond to near real-time data is a big advantage; it allows maintenance to be performed on an as-needed basis, thus reducing labour and material costs.

Solution for Condition Monitoring

BMT DEEP includes these types of use cases seeking condition monitoring and predictive maintenance strategies for rotating and reciprocating equipment. What makes BMT DEEP an invaluable tool in this type of service is its ability to process high frequency data – 10k Hz – in near real-time, allowing analysts the ability to manipulate, visualise, and analyse vast data sets and create fully customized reporting and alarming schemes to best suit their use.

 

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