Maximum-likelihood maximum-entropy constrained probability density function estimation for prediction of rare events-Reference-Cited by-同舟云学术

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Maximum-likelihood maximum-entropy constrained probability density function estimation for prediction of rare events

Published:2014-02-02 Issue:3 Volume:60 Page:1013-1026
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE J.

Author:

Ahooyi Taha Mohseni¹,Soroush Masoud¹,Arbogast Jeffrey E.²,Seider Warren D.³,Oktem Ulku G.⁴

Affiliation:

1. Dept. of Chemical and Biological Engineering; Drexel University; Philadelphia PA 19104

2. Air Liquide, Delaware Research & Technology Center; Newark DE 19702

3. Dept. of Chemical and Biomolecular Engineering; University of Pennsylvania; Philadelphia PA 19104

4. Risk Management and Decision Processes Center; Wharton School; Philadelphia PA 19104

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/aic.14330/fullpdf

Reference63 articles.

1. Statistical process monitoring: basics and beyond;Qin;J Chemom.,2003

2. Fault detection and diagnosis in process data using one-class support vector machines;Mahadevan;J Process Control.,2009

3. Process monitoring using causal map and multivariate statistics: fault detection and identification;Chiang;Chemom Intell Lab Syst.,2003

4. Castillo I , Edgar TF , Dunia R Nonlinear model-based fault detection with fuzzy set fault isolation 2010 174 179

5. Isolation and handling of actuator faults in nonlinear systems;Mhaskar;Automatica.,2008

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