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实例探究 > Two Looming Failures Stopped Within Two Weeks of Monitoring

Two Looming Failures Stopped Within Two Weeks of Monitoring

技术
  • 分析与建模 - 机器学习
适用行业
  • 矿业
适用功能
  • 维护
用例
  • 预测性维护
服务
  • 系统集成
挑战
The mining company was seeking a step change in how to proactively handle reliability issues for critical equipment. Previous efforts with solutions like Smart Signal had not provided the benefits they were seeking. The company was interested in Aspen Mtell and visited an installation in Botswana to see it in action. They decided to conduct an online pilot which would provide a faster time to value.
关于客户
The customer is a mining company that was looking for a step change in their approach to reliability at their facilities. They had tried other solutions like Smart Signal but had not seen the benefits they were seeking. The company was interested in Aspen Mtell and even visited an installation in Botswana to see it in action. They decided to conduct an online pilot with Aspen Mtell, using the data they were already collecting.
解决方案
The company decided to use Aspen Mtell, a machine learning solution, to detect historic asset failures. During the pilot, Aspen Mtell predicted two additional failures that would not have been caught by traditional monitoring methods. This allowed the customer to proactively plan for the maintenance and repairs, without exposure to higher downtime costs. The company continues to monitor the initial 12 assets with Aspen Mtell, confident that any alerts that occur warrant follow up.
运营影响
  • Planned downtime of critical equipment saves money over unexpected outages
  • No need to install additional sensors or collect additional information prior to pilot thanks to Aspen Mtell’s overall process approach rather than asset specific focus.
  • The company continues to monitor the initial 12 assets with Aspen Mtell, confident that any alerts that occur warrant follow up.
数量效益
  • Detected 2 previously undetected equipment issues

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