DSpace Home
→
BITS Faculty Publications
→
Department of Chemical Engineering
→
Browsing Department of Chemical Engineering by Author

Browsing Department of Chemical Engineering by Author "Pani, Ajaya Kumar"

Now showing items 1-19 of 19

Application of Soft Sensors in Process Monitoring and Control: A Review

Mohanta, Hare Krishna; Pani, Ajaya Kumar (SSRN, 2010-01-04)

A major problem in product quality control in process industries is the difficulty of continuous online measurement of certain output variables especially related to composition. Although analytical instruments are available ...
Back Pressure Monitoring of Power Plant Condenser Using Multiple Adaptive Regression Spline

Pani, Ajaya Kumar (Springer, 2020-02)

This research work involves the application of multivariate adaptive regression spline (MARS) for estimating back pressure (p) created in a condenser of a coal-fired thermal power plant. MARS employs the plant load (L) and ...
Development and comparison of neural network based soft sensors for online estimation of cement clinker quality

Mohanta, Hare Krishna; Pani, Ajaya Kumar (Elsiever, 2013-01)

The online estimation of process outputs mostly related to quality, as opposed to their belated measurement by means of hardware measuring devices and laboratory analysis, represents the most valuable feature of soft ...
Fault Detection of Complex Processes Using nonlinear Mean Function Based Gaussian Process Regression: Application to the Tennessee Eastman Process

Pani, Ajaya Kumar (Springer, 2020-11-16)

Process monitoring or fault detection and diagnosis have gained tremendous attention over the past decade in order to achieve better product quality, minimise downtime and maximise profit in process industries. Among various ...
A hybrid soft sensing approach of a cement mill using principal component analysis and artificial neural networks

Pani, Ajaya Kumar; Mohanta, Hare Krishna (IEEE, 2013)

Soft sensors play an important role in predicting the values of unmeasured process variables from knowledge of easily measured process variables. Online estimation of particle size is vital for efficient control of a ...
Inferential Sensing of Output Quality in Petroleum Refinery Using Principal Component Regression and Support Vector Regression

Pani, Ajaya Kumar (IEEE, 2017)

In this research, linear regression (ordinary least square and principal component) and non-linear regression (standard and least square support vector) models are developed for prediction of output quality from sulphur ...
Neural Network Soft Sensor Application in Cement Industry: Prediction of Clinker Quality Parameters

Pani, Ajaya Kumar; Mohanta, Hare Krishna (IEEE, 2011)

A soft sensor tries to estimate difficult to measure quality parameters from the knowledge of easy to measure online process variables. Empirical approach of soft sensor development has gained much popularity recently due ...
Non-linear process monitoring using kernel principal component analysis: A review of the basic and modified techniques with industrial applications

Pani, Ajaya Kumar (Springer, 2021-07-04)

Timely detection and diagnosis of process abnormality in industries is crucial for minimizing downtime and maximizing profit. Among various process monitoring and fault detection techniques, principal component analysis ...
Online monitoring and control of particle size in the grinding process using least square support vector regression and resilient back propagation neural network

Mohanta, Hare Krishna; Pani, Ajaya Kumar (Elsiever, 2015-05)

Particle size soft sensing in cement mills will be largely helpful in maintaining desired cement fineness or Blaine. Despite the growing use of vertical roller mills (VRM) for clinker grinding, very few research work is ...
Online monitoring of cement clinker quality using multivariate statistics and Takagi-Sugeno fuzzy-inference technique

Pani, Ajaya Kumar; Mohanta, Hare Krishna (Elsiever, 2016-12)

This article addresses the issue of outlier detection in industrial data using robust multivariate techniques and soft sensing of clinker quality in cement industries. Feed-forward artificial neural network (back propagation, ...
Quality monitoring in petroleum refinery with regression neural network: Improving prediction accuracy with appropriate design of training set

Pani, Ajaya Kumar; Mohanta, Hare Krishna (Elsiever, 2019-02)

The objective of this research is twofold. First, design of training set from the available plant data which is followed by use of training set for developing data driven linear and non-linear soft sensor models for ...
Real-time quality monitoring in debutanizer column with regression tree and ANFIS

Pani, Ajaya Kumar (Springer, 2018-05-31)

A debutanizer column is an integral part of any petroleum refinery. Online composition monitoring of debutanizer column outlet streams is highly desirable in order to maximize the production of liquefied petroleum gas. In ...
Soft sensing of particle size in a grinding process: Application of support vector regression, fuzzy inference and adaptive neuro fuzzy inference techniques for online monitoring of cement fineness

Mohanta, Hare Krishna; Pani, Ajaya Kumar (Elsiever, 2014-09)

Use of soft sensors for online particle size monitoring in a grinding process is a viable alternative since physical sensors for the same are not available for many such processes. Cement fineness is an important quality ...
Soft sensing of product quality in the debutanizer column with principal component analysis and feed-forward artificial neural network

Pani, Ajaya Kumar; Mohanta, Hare Krishna (Elsiever, 2016-06)

In this work, data-driven soft sensors are developed for the debutanizer column for online monitoring of butane content in the debutanizer column bottom product. The data set consists of data for seven process inputs and ...
Software sensor development for product concentration monitoring in fed-batch fermentation process using dynamic principal component regression

Pani, Ajaya Kumar (IEEE, 2018)

Monitoring and control of batch processes is more complicated than that of a continuous process. This is due to the fact that the properties change with time in a batch process. Penicillin production using fed-batch ...
Support vector regression modeling in recursive just-in-time learning framework for adaptive soft sensing of naphtha boiling point in crude distillation unit

Pani, Ajaya Kumar; Mohanta, Hare Krishna (Elsiever, 2021-08-15)

Prediction of primary quality variables in real time with adaptation capability for varying process conditions is a critical task in process industries. This article focuses on the development of non-linear adaptive soft ...
A survey of data treatment techniques for soft sensor design. Chemical Product and Process Modeling

Mohanta, Hare Krishna; Pani, Ajaya Kumar (https://www.degruyter.com/document/doi/10.2202/1934-2659.1536/html, 2011-01-03)

Soft sensors have proved themselves as valuable alternatives to the traditional means for the acquisition of critical process variables, process monitoring and other tasks relating to process control. Most of the present ...
Temperature Optimization in Non-isothermal Tubular Reactor using Genetic Algorithm

Pani, Ajaya Kumar (IEEE, 2020)

Genetic algorithm (GA) is a heuristic search algorithm that is inspired by evolution. It is a powerful optimization tool that uses the stochastic procedure with populations of initial guesses rather than using a single ...
Variable selection and modeling from NIR spectra data: A case study of diesel quality prediction using LASSO and Regression Tree

Pani, Ajaya Kumar (IEEE, 2020-02)

The objective of this research is to design a model for predicting diesel fuel parameters from the data obtained from near infrared spectroscopic analysis of the fuel. Due to the complexity and the sheer number of peaks ...

Now showing items 1-19 of 19

Search DSpace

Advanced Search

Browse

All of DSpace
This Collection
- By Issue Date
- Authors
- Titles
- Subjects

Browsing Department of Chemical Engineering by Author "Pani, Ajaya Kumar"

Browsing Department of Chemical Engineering by Author "Pani, Ajaya Kumar"

Search DSpace

Browse

All of DSpace

This Collection

My Account