Yokogawa Corporation of America has announced the release in North America of its Sushi Sensor, an OpreXTM Asset Management and Integrity wireless solution, with advanced AI analytics via GA10 software that make it ideal for IIoT plant asset management (PAM) applications. The solution addresses a growing need for efficient and effective online collection of equipment data across industrial facilities via wireless sensors for early equipment anomaly detection. The Sushi Sensor combined with AI GA10 software detects early signs of abnormal operating characteristics and transforms a reactive maintenance process to one which is proactive, intelligent, and condition based. By leveraging wireless technology, the solution reduces cost and logistical challenges for early equipment problem detection to deliver enhanced plant safety, reliability and profitability. With a free smartphone app for easy set-up and configuration, users can rapidly place hundreds of Sushi Sensor devices into service across a facility.
Oil and gas facilities lose up to 10% of annual production every year as a result of unplanned downtime, according to a 2016 study by ARC Advisory Group. Nearly 30% of senior executives, engineering, operations, and maintenance managers surveyed by ARC reported between 3 – 5% lost production every year from unscheduled downtime. The cost of equipment failure significantly impacts return on capital employed (ROCE) performance through lost revenues, high operating and maintenance costs (OPEX) and unnecessary capital cost (CAPEX) for remedial work, modifications and upgrades. More predictive and prescriptive asset management strategies are required to exploit the benefits of applying data and analytics to maintenance.
The Sushi Sensor, with LoRaWAN® (Long Range Wide Area Network) communication technology and advanced analytics from GA10 software, enables the digital transformation of rotating equipment asset management. Approved by testing and standards agency, FM Approvals, for operation in hazardous areas, the Sushi Sensor is a compact wireless device providing online vibration and surface temperature measurement in machines and process equipment. Via LoRaWAN, a low power, wide area network with up to ten times the range of other IoT wireless networks, the Sushi Sensor efficiently communicates digitised measurements to Yokogawa’s advanced AI analytics environment. The solution involves easy installation/setup, excellent environmental resistance and monitoring versatility via on-premise servers or the Cloud.
“Our co-innovation with asset owners and operators at over 40 sites across various industries resulted in development of the Sushi Sensor and AI solution,” comments Tom Quinlan, vice president of Yokogawa Corporation of America. “We are delighted to deliver an easy to implement, low-cost, rugged IIoT solution featuring long-distance wireless communication but with low power consumption to extend battery life.”
Read the article online at: https://www.hydrocarbonengineering.com/product-news/25062020/yokogawa-releases-predictive-maintenance-asset-management-solution/
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