Bayesian methods for control loop monitoring and diagnosis

GMM and optimal principal components-based Bayesian method for multimode fault diagnosis

“…In control loop diagnosis, the evidence is referred to as monitor readings (Huang, 2008;Qi et al, 2010); however, for PCA-based process monitoring, the monitors do not explicitly exist. The process historical data available are usually the measurements of manipulated variables and measured variables, i.e., the sensor readings.…”

“…As one of the most widely used techniques in probabilistic inference, Bayesian method has found its application in numerous diagnosis problems (Dey and Stori, 2005;Huang, 2008;Pernestal, 2007). A Bayesian control loop diagnosis framework has been established by Huang (2008), and following the framework, numerous studies have been conducted (Qi and Huang, 2011;Qi et al, 2010); however, to incorporate this Bayesian diagnosis system into MSPM, several issues need to be addressed; for instance, how to generate efficient fault signature evidence and how to select the most important evidence sources.…”

“…Based upon the previous work in Bayesian diagnosis by Huang (2008), this paper aims to establish an efficient Bayesian diagnosis scheme for multimode chemical processes. Since the mode identification and fault detection problems for multimode processes have been addressed (Yu and Qin, 2008), the current study focuses more on introducing the Bayesian diagnosis system into PCA-based monitoring and solving the multimode fault diagnosis problem.…”

An approach for developing diagnostic Bayesian network based on operation procedures

“…It does not consider the uncertainties when developing the model. However, uncertainties widely exist in sensors, faults, symptoms, fault-symptom relationships, the interconnection between a fault and other faults/symptoms (Huang, 2008;Xiao et al, 2014). For example, the collected diagnostic information for the same fault is not always the same every time due to sensor bias or observation error.…”

Neural network using Bayesian algorithm for estimation of petroleum reservoir

“…Aggarwal and Yu (2001) notes that outliers maybe considered as noise points lying outside a set of defined clusters or alternatively outliers may be defined as the points that lie outside of the set of clusters but are also separated from the noise. Biao Huang (2008) uses the Bayesian algorithm in fault detection and process monitoring. Gutierrez-Pena (2004) demonstrates the ability of Bayesian algorithm in classification.…”