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Peter Eastman (software engineer)

Known as: Peter Eastman 
Peter Eastman is the lead developer of the free 3D graphics application Art of Illusion and creator of other software titles such as the interactive… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Deep convolutional neural network model based chemical process fault diagnosis
Abstract Numerous accidents in chemical processes have caused emergency shutdowns, property losses, casualties and/or… Expand
2017
2017
Neural Component Analysis for Fault Detection
Principal component analysis (PCA) is largely adopted for chemical process monitoring and numerous PCA-based systems have been… Expand
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Highly Cited
2016
Highly Cited
2016
An improved SVM integrated GS-PCA fault diagnosis approach of Tennessee Eastman process
In modern industry, fault diagnosis and process supervision are very important in detecting machinery failures and keeping the… Expand
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Highly Cited
2016
Highly Cited
2016
Fault Isolation Based on k-Nearest Neighbor Rule for Industrial Processes
Recently, the well-known k-nearest neighbor (kNN) rule has been successfully applied to the fault detection of industrial… Expand
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Highly Cited
2016
Highly Cited
2016
An Advanced PLS Approach for Key Performance Indicator-Related Prediction and Diagnosis in Case of Outliers
In the process industry, the key performance indicator (KPI)-related prediction and fault diagnosis are important steps to… Expand
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2015
2015
Forecastable Component Analysis and Partial Least Squares Applied on Process Monitoring
Forecastable Component Analysis (ForeCA) is a new feature extraction method for multivariate time series. ForeCA can find an… Expand
Highly Cited
2014
Highly Cited
2014
Real-Time Implementation of Fault-Tolerant Control Systems With Performance Optimization
In this paper, two online schemes for an integrated design of fault-tolerant control (FTC) systems with application to Tennessee… Expand
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Highly Cited
2013
Highly Cited
2013
Fault diagnosis of Tennessee Eastman process with multi- scale PCA and ANFIS
Fault diagnosis in industrial processes are challenging tasks that demand effective and timely decision making procedures under… Expand
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Highly Cited
2006
Highly Cited
2006
Evaluation of a pattern matching method for the Tennessee Eastman challenge process
Abstract In this paper, we evaluate multivariate pattern matching methods for the Tennessee Eastman (TE) challenge process. The… Expand
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Highly Cited
2004
Highly Cited
2004
Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets
Abstract Recently, Maurya et al. (Ind. Eng. Chem. Res. 42 (2003b, c) 4789,4811) have presented a comprehensive framework for… Expand
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