Seamlessly leverage predictive analytics and monitoring to maximize asset performance

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Collecting asset performance data remains difficult

Taking predictive maintenance as an example, this kind of solution has certain quality requirements for machine-generated data before it can give meaningful analysis results, which is difficult to achieve in large-scale enterprise scenarios. A viable approach to upfront asset performance and maintenance requires significant effort, which is daunting for both manufacturers and equipment lessors.

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How can analyzing operational data address inefficiencies and reduce failure rates?

Recent enterprise use cases have shown that analyzing the operational data generated by assets is critical to improving enterprise durability and reliability. BP saved $200 million in capital expenditures by shortening the time of non-productive assets. Irish Power has created a comprehensive analysis platform through a solution with 141 sensors and real-time monitoring based on status. Using the integrated data of these sensors, equipment operators can have a unified view of power station performance. In addition, the data can help Irish Power to monitor abnormal operation and component aging before more serious problems arise.

One of the benefits of deploying an integrated operational data management system is the ability to take advantage of a preventive maintenance program to reduce downtime and maintenance costs. In Abu Dhabi, the demand for hydropower has increased by 7.5% year-on-year for many years. At present, the Abu Dhabi Water and Electricity Authority (ADWEA) has transformed into a smart public utility. One of these measures was the implementation of an asset management program that reduced maintenance costs by 40%.