Peter Eastman (software engineer)
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Abstract Numerous accidents in chemical processes have caused emergency shutdowns, property losses, casualties and/or… Expand Principal component analysis (PCA) is largely adopted for chemical process monitoring and numerous PCA-based systems have been… Expand In modern industry, fault diagnosis and process supervision are very important in detecting machinery failures and keeping the… Expand Recently, the well-known k-nearest neighbor (kNN) rule has been successfully applied to the fault detection of industrial… Expand In the process industry, the key performance indicator (KPI)-related prediction and fault diagnosis are important steps to… Expand Forecastable Component Analysis (ForeCA) is a new feature extraction method for multivariate time series. ForeCA can find an… Expand In this paper, two online schemes for an integrated design of fault-tolerant control (FTC) systems with application to Tennessee… Expand Fault diagnosis in industrial processes are challenging tasks that demand effective and timely decision making procedures under… Expand Abstract In this paper, we evaluate multivariate pattern matching methods for the Tennessee Eastman (TE) challenge process. The… Expand Abstract Recently, Maurya et al. (Ind. Eng. Chem. Res. 42 (2003b, c) 4789,4811) have presented a comprehensive framework for… Expand