Mind Map Of Fault Analysis And Diagnosis
This is a Mind Map Of Fault Analysis And Diagnosis. Many operations management automation systems rely on fault detection and diagnosis. A problem is referred to as a "fault." A "root cause" flaw is a fundamental, underlying issue that can produce secondary issues and symptoms. (It may or may not be directly visible.) In most cases, a root cause is linked to repairing processes. A "fault" or "trouble" does not have to be the result of complete equipment failure or even involves specific gear. A problem could be described as a non-optimal procedure or an out-of-spec product, for example. Hardware failures may be the root cause of non-optimal operation in a process plant, but problems can also be caused by poor operating targets, poor feedstock quality, poor controller tuning, partial catalyst activity loss, and coke buildup, low steam system pressure, sensor calibration errors, or human error. A fault can be a binary variable ("OK" vs. "failed") or a numerical "extent," such as the quantity of a leak or an indicator of inefficiency. A symptom is an occurrence or a variable value that can be used to detect and isolate errors. A test or test result is a symptom that is the outcome of a question or an on-demand data request (when actively testing a system rather than passively monitoring it). Besides this Fault Analysis And Diagnosis, there are plenty of other templates in the community of EdrawMind.
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