Member activity: Fall 2014 to present
Research
My research work focuses on fault detection, process monitoring and hybrid observer design of nonlinear industrial processes. Fault detection and isolation techniques are important aspects in the industry to ensure safe and proper operation of the plant. Some industrial processes are complex and it is difficult to have an accurate mathematical model describing the processes and in those cases, data based methods are a useful tool for fault detection and diagnosis. Process data in chemical processes are contaminated with noise and are highly nonlinear in nature with complex correlated variables. The objective of my Ph.D. work is to propose methods and algorithms for early and accurate detection and isolation of the faults within a process, allowing corrective action to be taken quickly.
Batch processes have been utilized in the production of high-value-added products such as pharmaceuticals, specialty chemicals and bio-technological products. We have developed a hybrid observer design based on data-based model and first principle model to estimate the states of the bioreactor, which is important for real-time optimization, and advance process control application. Process abnormalities need to be observed in a batch process to assure safety, productivity and desired quality of the merchandise. In this project we have developed algorithms and model based on nonlinear multivariate statistical techniques to detect the abnormality efficient and accurately.
Education
- B. Chem. Eng., Chemical Engineering, Institute of Chemical Technology (ICT), Mumbai, India, 2014
Publications
Botre, Chiranjivi, Majdi Mansouri, Mohamed Nounou, Hazem Nounou, and M. Nazmul Karim. “Kernel PLS-Based GLRT Method for Fault Detection of Chemical Processes.” Journal of Loss Prevention in the Process Industries 43 (September 2016): 212–24.
Botre, Chiranjivi, Majdi Mansouri, M. Nazmul Karim, Hazem Nounou, and Mohamed Nounou. “Multiscale PLS-Based GLRT for Fault Detection of Chemical Processes.” Journal of Loss Prevention in the Process Industries 46 (March 2017): 143–53.
Sheriff, M. Ziyan, Chiranjivi Botre, Majdi Mansouri, Hazem Nounou, Mohamed Nounou, and Mohammad Nazmul Karim. “Process Monitoring Using Data-Based Fault Detection Techniques: Comparative Studies,” IntechOpen 2017.
Presentations
Botre, Chiranjivi, M. Stefany Angarita Gómez, Majdi Mansouri, Mohamed N. Nounou, Hazem N. Nounouand, M. Nazmul Karim. “Fault detection and diagnosis in batch and fed-batch bioreactor system using PCA, PCR, PLS with GLR method.” 2015 AIChE Annual Meeting in Salt Lake City, UT.
Botre, Chiranjivi, M. Stefany Angarita Gómez, Majdi Mansouri, Mohamed N. Nounou, Hazem N. Nounou and M. Nazmul Karim, “Nonlinear Partial Least Square (PLS) Methods with Generalized Likelihood Ratio Test (GLRT) for Fault Detection and Diagnosis of Chemical Processes.” 2016 AIChE Spring Meeting in Houston, TX.
Botre, Chiranjivi, Majdi Mansouri, Mohamed N. Nounou, Hazem N. Nounou and M. Nazmul Karim, “Data Based Process Monitoring of Industrial Processes Using Multiscale Nonlinear Multivariate Statistical Methods”, 2016 AIChE Fall Meeting in San Francisco, CA.
Botre, Chiranjivi, Majdi Mansouri, Mohamed N. Nounou, Hazem N. Nounou and M. Nazmul Karim, “Multiscale Representation of Improved Multi-Kernel Partial Least Square Technique for Process Monitoring of the Industrial Processes.” 2017 AIChE Spring Meeting in San Antanio, TX.
Botre, Chiranjivi, Majdi Mansouri, Mohamed N. Nounou, Hazem N. Nounou and M. Nazmul Karim, “Process Monitoring of Batch Bioreactor Process using Optimized Data Based Model” 2018 AIChE Spring Meeting in Olando, FL.
Professional Resources