1st Edition
Chemometric Monitoring Product Quality Assessment, Process Fault Detection, and Applications
Data collection, compression, storage, and interpretation have become mature technologies over the years. Extraction of meaningful information from the process historical database seems to be a natural and logical choice. In view of this, the proposed book aims to apply the data driven knowledge base in ensuring safe process operation through timely detection of process abnormal and normal operating conditions, assuring product quality and analyzing biomedical signal leading to diagnostic tools. The book poses an open invitation for an interface which is required henceforth, in practical implementation of the propositions and possibilities referred in the book. It poses a challenge to the researchers in academia towards the development of more sophisticated algorithms. The proposed book also incites applications in diversified areas.
Key Features:
- Presents discussion of several modern and popular chemometric techniques
- Introduces specific illustrative industrial applications using the chemometric techniques
- Demonstrates several applications to beverage quality monitoring
- Provides all the algorithms developed for the automated device design, data files, sources for biomedical signals and their pre-processing steps, and all the process models requited to simulate process normal/faulty data
- Includes casestudy-based approach to the topics with MATLAB and SIMULINK source codes
CHAPTER 1: DATA GENERATION, COLLECTION, ANALYSIS AND PRE-PROCESSING
1.1 DATA: DIFFERENT DATA TYPES AND PRESENTATION OF DATA
1.2 DATA GENERATION: DESIGN OF EXPERIMENTS
1.3 COMPUTER BASED DATA ACQUISITION
1.4 BASIC STATISTICAL MEASURES AND REGRESSION
1.5 STOCHASTIC AND STATIONARY PROCESSES
1.6 DATA PREPROCESSING
REFERENCES
CHAPTER 2: CHEMOMETRICS TECHNIQUES: THEORETICAL POSTULATIONS
2.1 CHEMOMETRICS
2.2 PRINCIPAL COMPONENT ANALYSIS (PCA)
2.3 SIMILARITY
2.4 CLUSTERING
2.5 PARTIAL LEAST SQUARES (PLS)
2.6 CROSS-CORRELATION COEFFICIENT
2.7 SAMMON’S NON-LINEAR MAPPING
2.8 MOVING WINDOW BASED PCA
2.9 DISCRIMINANT FUNCTION / HYPERPLANE
2.10 MULTICLASS DECISION FUNCTION
REFERENCES
CHAPTER 3: CLASSIFICATION AMONG VARIOUS PROCESS OPERATING CONDITIONS
3.1 YEAST FERMENTATION BIOREACTOR PROCESS
3.2 COMMERCIAL DOUBLE-EFFECT EVAPORATOR
3.3 CONTINUOUS CRYSTALLIZATION PROCESS
REFERENCES
CHAPTER 4: DETECTION OF ABNORMAL OPERATING CONDITIOS IN PROCESSES USING MOVING WINDOW BASED PATTERN MATCHING
4.1 DETECTION OF ABNORMAL OPERATING CONDITIONS IN FLUID CATALYTIC CRACKING UNIT
4.2 DETECTION OF ABNORMAL OPERATING CONDITIONS IN CONTNUOUS STIRRED TANK HEATER
4.3 DETECTION OF ABNORMAL OPERATING CONDITIONS IN SIMULATED INDUSTRIAL GAS-PHASE POLYETHYLENE REACTOR
REFERENCES
Chapter 5: DESIGN OF AUTOMATED TEA GRADER
5.1 ELECTRONIC TONGUE: A BIOMIMETIC DEVICE
5.2 EXPERIMENTATION
5.3 TEA DATA PREPROCESSING
5.4 DISSIMILARITY BASED TEA GRADER
5.5 DESIGN OF RPCA BASED TEA CLASSIFIER
5.6 DESIGN OF FDA BASED CLASSIFIER FOR COMMERCIAL TEA BRANDS
5.7 COMPARATIVE CLASSIFICATION PERFORMANCE
5.8 PROTOTYPE DEVELOPMENT PRINCIPLES OF COMMERCIAL TEA GRADER
5.9 SUMMARY OF DELIVERABLES
REFERENCES
CHAPTER 6: WATER QUALITY MONITORING: DESIGN OF AN AUTOMATED CLASSIFICATION AND AUTHENTICATION TOOL
6.1 EXPERIMENTATION FOR E-TONGUE SIGNATURE GENERATION DUE TO VARIOUS MINERAL WATER BRANDS.
6.2 DESIGN OF PLS BASED MINERAL WATER AUTHENTICATOR/CLASSIFIER
6.3 CROSS-CORRELATION BASED PCA AND FEATURE ENHANCEMENT IN CLASSIFICATION
6.4 DESIGN OF CROSS-CORRELATION BASED ENHANCED SAMMON’S CLASSIFIER FOR MINERAL WATER AUTHENTICATION/CLASSIFICATION
6.5 DESIGN OF WATER CLASSIFIER BASED ON SUPPORT VECTOR MACHINE
6.6 RELATIVE PERFORMANCE EVALUATION OF THE DESIGNED CLASSIFIERS.
6.7 EXTENDED WATER MONITOR FRAMEWORK
REFERENCES
Chapter 7: MISCELLANEOUS APPLICATION OF CHEMOMETRICS
7.1 ELECTROCARDIOGRAM AS PATIENT CARE MONITOR
7.2 MORPHOLOGICAL MODELLING OF ECG
7.3 AUTOMATED ECG PATTERN CLASSIFIER
7.4 ARSENIC QUANTIFICATION IN CONTAMINATED WATER USING CHEMOMETRICS
REFERENCES
Biography
Madhusree Kundu is the associate professor, Department of Chemical Engineering, NIT Rourkela, Odhisa, India. Her previous prestigious academic appointments include Birla Institute of Technology and Science, Pilani, India. She has guided several Masters’ and Ph. D students and has been awarded with various research grants. Dr. Kundu has published 70 scientific papers and few book chapters and a book to her credit. She has been the reviewer of several peer reviewed International journals. Her teaching and research interests include, chemometric applications, Process identification and control, and fluid phase equilibria. Dr. Kundu and her research group is currently engaged in detection and quantification of arsenic in contaminated water through electronic tongue technology. Dr. Kundu is the member of ‘The Indian Institute of Chemical Engineers’ and ‘The Institute of Engineers India’.
Palash Kundu is the associate professor, Department of Electrical Engineering, Jadavpur University, Kolkata, India. Dr. Kundu’s field of specialization is Measurements & Instrumentation and he is having an industrial experience of more than a decade in government as well as in private sectors. His research interests include wireless sensor networking for industrial automation, biomedical signal transmission and receiving and design & application of embedded systems. Apart from teaching, Dr. Kundu has been engaged in R & D activities related to academia and industry as well. Dr. Kundu delivered invited lectures in various national congress or symposiums.
Seshu Kumar Damarla is going to submit his Ph.D thesis in the Department of Chemical Engineering, NIT Rourkela, Odhisa, India. Mr. Damarla has been the branch topper in Chemical Engineering during his masters’ from the same institute. By now, he has already published more than 20 scientific papers to his credit. His research interests include Process identification and control (including fractional order processes/ controller), devising numerical method for fraction order process simulation, and chemometric applications.
