Nearest Neighbors Methods for Root Cause Analysis of Plantwide Disturbances

Nearest Neighbors Methods for Root Cause Analysis of Plant-Wide Disturbances

In continuous chemical processes, disturbances travel along propagation paths in the direction of the control path or process flow. This article applies a method based on the nearest neighbors of embedded vectors to historical process data for the purpose of identifying the direction of propagation of disturbances. The resulting measure is sensitive to directionality even in the absence of an o...

Root Cause Diagnosis of Plantwide Disturbance Using Harmonic Analysis

Disturbances in the form of oscillations are usually originated in process plants due to various faults such as sensor faults, valve faults, process faults and controller tuning faults. Many of these faults can be represented as nonlinearities. Faults in the form of nonlinearities may produce oscillations with a fundamental frequency and its harmonics. This study presents a novel method based o...

Root cause analysis of plant-wide disturbances

Nearest neighbors methods for support vector machines

An important part of Pattern Recognition deals with the problem of classification of data into a finite number of categories. In the usual setting of " supervised learning " , examples are given that consists of pairs, (X i , Y i), i ≤ n, where X i is the d-dimensional covariate vector and y i is the corresponding " category " in some finite set C. In the examples, y i is known! Based on these ...

Root Cause and Error Analysis

Error is an inevitable part of life and cannot be completely eliminated, but it can be minimized. A root cause analysis is a technique for understanding the systematic error causes that is involved beyond a person or people to implement an errors and including field and environmental causes of errors when occur in this situation too. An important factor of an error occurrence is a root cause (c...