I was at a small Italian restaurant in the East Village of New York City eating dinner with the Physics genius Albert Einstein and Quality Management guru Dr W. Edwards Deming.
The SDIPF Curve is a visualization that attempts to graphically "bend time" to the benefit of investing in and achieving reliability by showing a lifetime snapshot of the asset over time.
How to Gain Timely and Accurate Data Insights to Optimize Asset Performance and Reliability
Data-driven decisions are those backed up by hard evidence; reliable and trustworthy data, rather than intuition, gut instinct, or guesswork. However, the abundance of data that is generated from Industrial Internet of Things (IIoT) devices and multiple siloed sources makes it difficult to analyze. The worst thing that can happen is that critical data is missing, remains hidden, or is incorrect. So, how do you know you have the correct information to make the right decision at the right time?
Digital transformation (DT) has become a common conversational theme in the industrial and academic arena. Plenty of articles have been published describing the urgent need to embrace DT initiatives and the potential benefits of doing so. Yet, many of these DT initiatives do not offer a clear goal of what is to be achieved.
This case study describes a proven method for detecting failures in the suction or discharge valves inside positive displacement pumps using a unique method of vibration analysis. The determination to find a reliable method of detection led to a greater understanding of equipment and processes, from working with the vendor to implementing a design change. This case study describes a journey from repeated failures to improved equipment reliability and lower maintenance costs.
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