Dynamic Monitoring For Early Failure Diagnosis And Modern Techniques For Design Of Positive Displacement Pumping Systems
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Competitive marketplace pressures for higher quality products with consistent material properties at lower cost are changing the face of chemical process manufacturing facilities. More frequently today, critical equipment is installed in unspared service with minimal onsite spare parts, yet demanded to operate reliably without defects for greater periods of time. An important component that helps make this possible is the emergence of increasingly more powerful and lower cost online condition monitoring systems for early failure diagnosis. These systems have moved into the relatively inhospitable chemical plant environment, capability that until recently was largely the domain of the engineering laboratory. High-frequency dynamic measurement, with automated statistical and mathematical post-processing, is now available live, remotely, via the Internet across the globe. This paper examines this technology in applications with several high-pressure process diaphragm pumping systems. Many key learnings are explored along with advances in system design that have been developed as a result of application of these techniques. Numerous real examples illustrate how to recognize improper precharge of gas-padded pulsation dampeners, and even correct while operating. Examples include diagnosis of excess internal leakage, with means to trace further to check valves or other pump internal sources. Fluid property changes, pulsation, and other problems can be diagnosed remotely. Shared in considerable experience gained over the past two years during continuous monitoring on both laboratory and real plant systems. This enables precise knowledge of trends in behavior and root causes so corrective action can be planned, parts and expertise made available, and downtime eliminated or minimized.
Martinez, Faustino; Philippin, Martin; Blanding, James M.; Schlucker, Eberhard (2000). Dynamic Monitoring For Early Failure Diagnosis And Modern Techniques For Design Of Positive Displacement Pumping Systems. Texas A&M University. Turbomachinery Laboratories. Available electronically from