MUKUND KUMAR MENON

@manipal.edu

Assistant Professor (Senior Scale), Dept. of Instrumentation and Control Engineering
MANIAPL INSTITUTE OF TECHNOLOGY, MANIPAL ACADEMY OF HIGHER EDUCATION (MAHE)

MUKUND KUMAR MENON


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https://researchid.co/mkm_mahe

RESEARCH, TEACHING, or OTHER INTERESTS

Chemical Engineering, Control and Systems Engineering
10

Scopus Publications

34

Scholar Citations

4

Scholar h-index

Scopus Publications

  • Noise-resilient process fault detection via multi-scale pls and distribution monitoring metrics
    K Ramakrishna Kini, Fouzi Harrou, Muddu Madakyaru, Ying Sun, Mukund Kumar Menon
    Engineering Research Express, 2025
    Rapid and accurate fault detection is crucial for maintaining safe and reliable operations in modern process industries. However, significant measurement noise often obscures subtle fault signatures, degrading the performance of conventional fault detection (FD) methods. This study proposes an efficient fault detection strategy that integrates wavelet-based multiscale filtering with Partial Least Squares (PLS) modeling and employs the Hellinger Distance (HD) as a distribution-based fault indicator. The multiscale PLS (MSPLS) approach effectively suppresses measurement noise while preserving essential process features, and the HD metric enhances sensitivity to small deviations often missed by traditional monitoring indices. A kernel density estimation (KDE) technique is used to derive robust statistical thresholds for fault decision-making. The proposed MSPLS–HD technique is evaluated using a benchmark Continuous Stirred-Tank Reactor (CSTR) process, under both low (Signal-to-Noise Ratio (SNR) = 15) and high noise (SNR = 5) conditions, and tested across three categories of faults. In addition, we performed a comprehensive performance analysis with different wavelet types and assessed the MSPLS–HD technique under varying decomposition depths. Comparisons with machine learning methods, including Gradient Boosting Regressor (GBR), Random Forest Regressor (RF), and Multi-Layer Perceptron (MLP) Regressor combined with Exponentially Weighted Moving Average (EWMA) chart monitoring, were also conducted to further validate the effectiveness of the proposed approach. The method consistently outperforms conventional PLS-based monitoring schemes, achieving an average F1-score exceeding 98% in high-noise scenarios. These results demonstrate the effectiveness and robustness of the proposed approach for fault detection in complex industrial environments.
  • Enhanced Fault Detection in Industrial Process via a Hellinger Distance-Based Data-Driven Scheme
    Mohammed Affan, K. Ramakrishna Kini, Muddu Madakyaru, Fouzi Harrou, Mukund Kumar Menon, Ying Sun
    IEEE International Conference on Modeling Simulation and Intelligent Computing Mosicom 2024 Proceedings, 2025
    Accurate fault detection in modern chemical processes ensures safety and efficiency. However, detecting faults in noisy environments remains a significant challenge. This paper introduces an effective fault detection (FD) strategy that combines a supervised learning approach using partial least squares (PLS) with fault detection charts based on Hellinger distance (HD) and exponentially weighted moving average (EWMA). The PLS-HD-EWMA strategy utilizes PLS to generate residuals, while HD is employed to compute the divergence between actual residuals and fault-free residuals. EWMA is then applied to evaluate the HD, providing sensitivity to small changes for effective fault detection. The proposed strategy’s efficacy is demonstrated through simulations on a benchmark continuous stirred tank reactor process, evaluating three common fault scenarios. The monitoring performance indicates that the PLS-HD-EWMA approach outperforms all the other conventional methods, offering superior fault detection capabilities.
  • Dynamic Equilibrium Control of a Ball-on-Beam System: Newtonian Modeling and Stabilization Techniques
    Niha Singhania, Vidya S Rao, Bipin Krishna, Mukund Kumar Menon, Kavyashree
    2025 Control Instrumentation System Conference Ciscon 2025, 2025
  • PLS-based hellinger distance method for fault detection in chemical engineering systems
    K Ramakrishna Kini, Fouzi Harrou, Muddu Madakyaru, Ying Sun, Mukund Kumar Menon
    Engineering Research Express, 2024
    Fault detection is vital in chemical engineering systems to maintain operational efficiency, product quality, and safety through timely identification and correction of deviations from expected behavior. Although partial least squares (PLS) has proven effective in monitoring due to its ability to handle highly correlated variables, traditional detection metrics of PLS may fail to identify small abnormal changes as they rely solely on recent observations. This paper integrates PLS modeling framework with Hellinger Distance (HD)-based fault detection index to overcome the limitations of conventional detection metrics. The utilization of HD is motivated by its sensitivity to quantifying any dissimilarity between distributions, which makes it well-suited for detecting small deviations in process behavior. The HD-based index will be computed between the residuals obtained from the model in the offline stage and the online stage. The HD metric involves careful inspection and comparison of the residuals, which enables it to capture the sensitive details in the data, thus, enhancing the detection of faults. For increased flexibility, kernel density estimation is employed to establish the reference threshold of the PLS-HD approach. The performance of this approach will be evaluated using data from simulated Continuous Stirred-Tank Heater (CSTH) and Continuous Stirred-Tank Reactor (CSTR) processes, by considering various fault types such as bias, freezing, and sensor drift faults. The results demonstrate the superior performance of the proposed PLS-HD approach compared to conventional PLS monitoring methods.
  • Improved Fault Detection in Chemical Engineering Processes via Non-Parametric Kolmogorov–Smirnov-Based Monitoring Strategy
    K. Ramakrishna Kini, Muddu Madakyaru, Fouzi Harrou, Mukund Kumar Menon, Ying Sun
    Chemengineering, 2024
    Fault detection is crucial in maintaining reliability, safety, and consistent product quality in chemical engineering processes. Accurate fault detection allows for identifying anomalies, signaling deviations from the system’s nominal behavior, ensuring the system operates within desired performance parameters, and minimizing potential losses. This paper presents a novel semi-supervised data-based monitoring technique for fault detection in multivariate processes. To this end, the proposed approach merges the capabilities of Principal Component Analysis (PCA) for dimensionality reduction and feature extraction with the Kolmogorov–Smirnov (KS)-based scheme for fault detection. The KS indicator is computed between the two distributions in a moving window of fixed length, allowing it to capture sensitive details that enhance the detection of faults. Moreover, no labeling is required when using this fault detection approach, making it flexible in practice. The performance of the proposed PCA–KS strategy is assessed for different sensor faults on benchmark processes, specifically the Plug Flow Reactor (PFR) process and the benchmark Tennessee Eastman (TE) process. Different sensor faults, including bias, intermittent, and aging faults, are considered in this study to evaluate the proposed fault detection scheme. The results demonstrate that the proposed approach surpasses traditional PCA-based methods. Specifically, when applied to PFR data, it achieves a high average detection rate of 98.31% and a low false alarm rate of 0.25%. Similarly, when applied to the TE process, it provides a good average detection rate of 97.27% and a false alarm rate of 6.32%. These results underscore the efficacy of the proposed PCA–KS approach in enhancing the fault detection of high-dimensional processes.
  • Non-prehensile Modes of Object Manipulation: A Comprehensive Review
    Mukund Kumar Menon, V. I. George, Shashank Goyal
    Lecture Notes in Electrical Engineering, 2024
  • GUI based Control Scheme for Ball-on-Plate System using Computer Vision
    Akanksh Kasula, Palash Thakur, Mukund Kumar Menon
    2018 IEEE Western New York Image and Signal Processing Workshop Wnyispw 2018, 2018
    Ball-on-Plate system, an example of nonprehensile robotic manipulation, constitutes a formidable control problem as well as an excellent testbench for complex control algorithms. The authors have developed a prototype of a linkage based Ball-on-Plate system with Computer Vision Sensing, and an accompanying GUI based controller implemented on MATLAB, with the capability to implement various control schemes. Position control was tested using a PD Controller, and a novel fuzzy inference control scheme has been developed.
  • Design of adaptive PID controller based on maximum modulus theorem for inverted pendulum on a cart
    Sensors and Transducers, 2012
  • Lumped parameter modeling of absolute and differential micro pressure sensors
    Sensors and Transducers, 2012
  • Stability analysis and design of PI controller using Kharitnov polynomial for rotary inverted pendulum
    Sensors and Transducers, 2012

RECENT SCHOLAR PUBLICATIONS

  • Noise-resilient process fault detection via multi-scale pls and distribution monitoring metrics
    K Ramakrishna Kini, F Harrou, M Madakyaru, Y Sun, MK Menon
    Engineering Research Express 7 (4), 045007 , 2025
    2025.0
  • Dynamic Equilibrium Control of a Ball-on-Beam System: Newtonian Modeling and Stabilization Techniques
    N Singhania, VS Rao, B Krishna, MK Menon
    2025 Control Instrumentation System Conference (CISCON), 1-7 , 2025
    2025.0
  • Enhanced Fault Detection in Industrial Process via a Hellinger Distance-Based Data-Driven Scheme
    M Affan, KR Kini, M Madakyaru, F Harrou, MK Menon, Y Sun
    2024 International Conference on Modeling, Simulation & Intelligent … , 2024
    2024.0
  • PLS-based hellinger distance method for fault detection in chemical engineering systems
    K Ramakrishna Kini, F Harrou, M Madakyaru, Y Sun, MK Menon
    Engineering Research Express 6 (3), 035007 , 2024
    2024.0
    Citations: 5
  • Improved fault detection in chemical engineering processes via non-parametric Kolmogorov–Smirnov-based monitoring strategy
    KR Kini, M Madakyaru, F Harrou, MK Menon, Y Sun
    ChemEngineering 8 (1), 1 , 2023
    2023.0
    Citations: 8
  • Non-prehensile Modes of Object Manipulation: A Comprehensive Review
    MK Menon, VI George, S Goyal
    National Conference on CONTROL INSTRUMENTATION SYSTEM CONFERENCE, 449-462 , 2018
    2018.0
  • GUI based control scheme for ball-on-plate system using computer vision
    A Kasula, P Thakur, MK Menon
    2018 IEEE Western New York image and signal processing workshop (WNYISPW), 1 , 2018
    2018.0
    Citations: 5
  • 3-BIT SYNCHRONOUS UP COUNTER USING T FLIP FLOP
    U Raviraj Maiya, MK Menon
    2014.0
  • Design of adaptive PID controller based on maximum modulus theorem for inverted pendulum on a cart
    J George, B Krishna, VI George, MK Menon
    Sensors & Transducers 145 (10), 163 , 2012
    2012.0
    Citations: 2
  • Lumped parameter modeling of absolute and differential micro pressure sensors
    S Meenatchisundaram, A Simha, MK Menon, SM Kulkarni, S Bhat
    Sensors & Transducers 144 (9), 76 , 2012
    2012.0
    Citations: 3
  • Stability analysis and design of PI controller using Kharitnov polynomial for rotary inverted pendulum
    J George, B Krishna, VI George, C Shreesha, MK Menon
    2012.0
    Citations: 8
  • Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials
    I Thirunavukkarasu, VI George, MK Menon, SS Priya
    Sensors & Transducers 119 (8), 174 , 2010
    2010.0
  • Notification of bread wheat variety MACS6145
    VS Rao, SC Misra, MD Bhagwat, RN Dixit, BK Honrao, AM Chavan, ...
    The Indian Journal of Genetics and Plant Breeding 67 (3), 305-305 , 2007
    2007.0
    Citations: 3
  • 2025 Control Instrumentation System Conference (CISCON)
    S Evangeline, A Barani Priyadharshini, V Harini, S Jeyagowtham, ...
    Optimization 10, 386 , 0

MOST CITED SCHOLAR PUBLICATIONS

  • Improved fault detection in chemical engineering processes via non-parametric Kolmogorov–Smirnov-based monitoring strategy
    KR Kini, M Madakyaru, F Harrou, MK Menon, Y Sun
    ChemEngineering 8 (1), 1 , 2023
    2023.0
    Citations: 8
  • Stability analysis and design of PI controller using Kharitnov polynomial for rotary inverted pendulum
    J George, B Krishna, VI George, C Shreesha, MK Menon
    2012.0
    Citations: 8
  • PLS-based hellinger distance method for fault detection in chemical engineering systems
    K Ramakrishna Kini, F Harrou, M Madakyaru, Y Sun, MK Menon
    Engineering Research Express 6 (3), 035007 , 2024
    2024.0
    Citations: 5
  • GUI based control scheme for ball-on-plate system using computer vision
    A Kasula, P Thakur, MK Menon
    2018 IEEE Western New York image and signal processing workshop (WNYISPW), 1 , 2018
    2018.0
    Citations: 5
  • Lumped parameter modeling of absolute and differential micro pressure sensors
    S Meenatchisundaram, A Simha, MK Menon, SM Kulkarni, S Bhat
    Sensors & Transducers 144 (9), 76 , 2012
    2012.0
    Citations: 3
  • Notification of bread wheat variety MACS6145
    VS Rao, SC Misra, MD Bhagwat, RN Dixit, BK Honrao, AM Chavan, ...
    The Indian Journal of Genetics and Plant Breeding 67 (3), 305-305 , 2007
    2007.0
    Citations: 3
  • Design of adaptive PID controller based on maximum modulus theorem for inverted pendulum on a cart
    J George, B Krishna, VI George, MK Menon
    Sensors & Transducers 145 (10), 163 , 2012
    2012.0
    Citations: 2
  • Noise-resilient process fault detection via multi-scale pls and distribution monitoring metrics
    K Ramakrishna Kini, F Harrou, M Madakyaru, Y Sun, MK Menon
    Engineering Research Express 7 (4), 045007 , 2025
    2025.0
  • Dynamic Equilibrium Control of a Ball-on-Beam System: Newtonian Modeling and Stabilization Techniques
    N Singhania, VS Rao, B Krishna, MK Menon
    2025 Control Instrumentation System Conference (CISCON), 1-7 , 2025
    2025.0
  • Enhanced Fault Detection in Industrial Process via a Hellinger Distance-Based Data-Driven Scheme
    M Affan, KR Kini, M Madakyaru, F Harrou, MK Menon, Y Sun
    2024 International Conference on Modeling, Simulation & Intelligent … , 2024
    2024.0
  • Non-prehensile Modes of Object Manipulation: A Comprehensive Review
    MK Menon, VI George, S Goyal
    National Conference on CONTROL INSTRUMENTATION SYSTEM CONFERENCE, 449-462 , 2018
    2018.0
  • 3-BIT SYNCHRONOUS UP COUNTER USING T FLIP FLOP
    U Raviraj Maiya, MK Menon
    2014.0
  • Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials
    I Thirunavukkarasu, VI George, MK Menon, SS Priya
    Sensors & Transducers 119 (8), 174 , 2010
    2010.0
  • 2025 Control Instrumentation System Conference (CISCON)
    S Evangeline, A Barani Priyadharshini, V Harini, S Jeyagowtham, ...
    Optimization 10, 386 , 0