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A Holistic Approach for Pump-System Analytics

By Stylianos Giannoulakis, Sulzer |

A step-by-step approach is presented to address the modern requirements of a pump-system digital solution In recent years, significant developments have been achieved in the fields of cloud computing and machine learning techniques. In conjunction with increased awareness regarding the benefits of digital transformation, from both users and manufacturers of industrial equipment, a unique opportunity is emerging. This article describes a comprehensive solution for addressing pump system monitoring, and predictive and optimization analytics in a holistic manner. The target of the proposed approach is to leverage all available system data and infrastructure and to address issues of traditional monitoring solutions. Typically, traditional performance monitoring and predictive solutions are simply accepting errors of raw sensor data or modeling assumptions, or both. In addition, any reliability alerts are based on thresholds of individual sensors, which are usually triggered at the time of failure, providing no reaction time to the user. As shown in Figure 1, five distinct steps are defined as part of an integrated solution: 1) connect remote industrial equipment to the internet; 2) monitor the state of the equipment; 3) analyze the operating…
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