https://www.ece.lsu.edu/mcu/lawss/add_materials/FaultDetectionPart1.pdf

A Review of Process Fault Detection and Diagnosis Part I : Quantitative Model-Based Methods

Mathematical programming models with noisy, erroneous, or incomplete data are common in operations research applications. Difficulties with such data are typically dealt with reactively-through sensitivity analysis-or proactively-through stochastic programming formulations. In this paper, we characterize the desirable properties of a solution to models, when the problem data are described by a set of scenarios for their value, instead of using point estimates. A solution to an optimization model is defined as: solution robust if it remains "close" to optimal for all scenarios of the input data, and model robust if it remains "almost" feasible for all data scenarios. We then develop a general model formulation, called robust optimization RO, that explicitly incorporates the conflicting objectives of solution and model robustness. Robust optimization is compared with the traditional approaches of sensitivity analysis and stochastic linear programming. The classical diet problem illustrates the issues. Robust optimization models are then developed for several real-world applications: power capacity expansion; matrix balancing and image reconstruction; air-force airline scheduling; scenario immunization for financial planning; and minimum weight structural design. We also comment on the suitability of parallel and distributed computer architectures for the solution of robust optimization models.

Robust Optimization of Large-Scale Systems

https://www.ece.lsu.edu/mcu/lawss/add_materials/FaultDetectionPart2.pdf

A review of process fault detection and diagnosis Part II : Qualitative models and search strategies

http://inis.jinr.ru/sl/m_mathematics/mn_numerical methods/mnd_numerical calculus/allgower e.l., georg k. introduction to numerical continuation methods (colorado, 1990)(397s).pdf

Numerical Continuation Methods

An algebraic method that includes Gibbs minimization for performing phase equilibrium calculations for any number of components or phases

1. Introduction to Chemical Product Design 1S Supplement to Chapter 1 2. Product-Development Process PART 1 BASIC CHEMICALS PRODUCT DESIGN 3. Materials Technology for Basic Chemicals: Molecular-Structure Design 3S Supplement to Chapter 3 4. Process Creation for Basic Chemicals 5. Simulation to Assist in Process Creation 6. Heuristics for Process Synthesis 7. Reactor Design and Synthesis of Networks Containing Reactors 7S Supplement to Chapter 7 8. Synthesis of Separation Trains 9. Heat and Power Integration 9S Suppliment to Chapter 9 Second Law Analysis 10. Mass Integration 11. Optimal Design and Scheduling of Batch Processes 12. Plantwide Controllability Assessment 12S Supplement to Chapter 12 Flowsheet Controllability Analysis 13. Basic Chemicals Product Design Case Studies PART 2 INDUSTRIAL CHEMICALS PRODUCT DESIGN 14. Materials and Process/Manufacturing Technologies for Industrial Chemical Products 15. Industrial Chemicals Product Design Case Studies PART 3 CONFIGURED CONSUMER PRODUCT DESIGN 16. Materials, Process/Manufacturing, and Product Technologies for Con"?gured Consumer Products 16S Supplement to Chapter 16 17. Con"?gured Consumer Product Design Case Studies PART 4 DETAILED DESIGN, EQUIPMENT SIZING, OPTIMIZATION, AND PRODUCT-QUALITY ANALYSIS 18. Heat Exchanger Design 19. Separation Tower Design 20. Pumps, Compressors, and Expanders 21. Polymer Compounding 22. Cost Accounting and Capital Cost Estimation 22S Supplement to Chapter 22 23. Annual Costs, Earnings, and Pro"?tability Analysis 23S Supplement to Chapter 23 24. Design Optimization 25. Six-Sigma Design Strategies PART 5 DESIGN REPORT 26. Written Reports and Oral Presentations APPENDIXES INDICES

Product and Process Design Principles: Synthesis, Analysis and Evaluation

Recent and ongoing research in the distillation of nonideal mixtures is reviewed focusing on advances in the methodologies for the synthesis, design, analysis and control of separation sequences involving homogeneous and heterogeneous azeotropic towers. Maps of residue curves and distillation lines are examined, as well as geometric methods for the synthesis and design of separation sequences, trends in the steady-state and dynamic analysis of homogeneous and heterogeneous towers, the nonlinear behavior of these towers, and strategies for their control.

Emphasis is placed on the methods of computing all of the azeotropes associated with a multicomponent mixture, on the features that distinguish azeotropic distillations from their zeotropic counterparts, on the potential for steady-state multiplicity, and on the existence of maximum and minimum reflux bounds. Important considerations in the selection of entrainers are examined. For the synthesis of separation trains, when determining the feasible product compositions, the graphical methods are clarified, especially the conditions under which distillation boundaries can be crossed and bounding strategies under finite reflux. The application of geometric theory to locate the fixed points, at minimum reflux, is reviewed in connection with homotopy-continuation algorithms for this purpose. The use of homotopy-continuation algorithms, especially for the steady-state simulation of heterogeneous azeotropic distillations, is justified. Methods for phase stability analysis are reviewed in connection with the location of real bifurcation points at phase transitions, an important feature of algorithms for the dynamic simulation of heterogeneous azeotropic distillations.

Journal review. Azeotropic distillation

Plant-specific dynamic failure assessment using Bayesian theory

The design process process creation simulation to assist in process synthesis heuristics for process synthesis synthesis of separation trains second-law analysis heat and power integration heat-exchanger design capital cost estimation profitability analysis optimization of process flowsheets the interaction of process design and process control flowsheet controllability analysis dynamic simulation of process flowsheets written process design report and oral presentation.

Warren D. Seider

Papers

Product and Process Design Principles: Synthesis, Analysis and Evaluation

Journal review. Azeotropic distillation

Plant-specific dynamic failure assessment using Bayesian theory

Process Design Principles: Synthesis, Analysis, and Evaluation

Product and Process Design Principles