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Muddu Madakyaru

BE (Chemical), MTech(Chemical), PhD(Chemical Engineering and Process control)

 https://orcid.org/0000-0002-2518-5190
  • 276 Citations
  • 10 h-Index
19962019
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Personal profile

Research Interests

Chemical Engineering

Education/Academic qualification

Indian Institute of Technology, Bombay

15-07-2005 → 08-08-2010

National Institute of Technology Karnataka

15-07-1996 → 15-08-1996

RVCE

01-08-1991 → 30-07-1995

External positions

16-01-2011 → 31-07-2014

16-07-2008 → 15-01-2011

16-07-2005 → 15-07-2008

22-09-1999 → 15-07-2005

Fingerprint Dive into the research topics where Muddu Madakyaru is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Distillation columns Engineering & Materials Science
Fault detection Engineering & Materials Science
Process monitoring Engineering & Materials Science
Principal component analysis Engineering & Materials Science
Monitoring Engineering & Materials Science
Anomaly Detection Mathematics
Distillation Mathematics
Generalized Likelihood Ratio Test Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1996 2019

  • 276 Citations
  • 10 h-Index
  • 14 Article
  • 7 Conference contribution
  • 1 Chapter

Anomaly detection using multi-scale dynamic principal component analysis for Tenneesse Eastman Process

Kini, K. R. & Madakyaru, M., 14-05-2019, 2019 5th Indian Control Conference, ICC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 219-224 6 p. 8715552. (2019 5th Indian Control Conference, ICC 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Anomaly Detection
Dynamic Analysis
Principal component analysis
Principal Component Analysis
Anomaly

Monitoring Distillation Column Systems Using Improved Nonlinear Partial Least Squares-Based Strategies

Madakyaru, M., Harrou, F. & Sun, Y., 01-12-2019, In : IEEE Sensors Journal. 19, 23, p. 11697-11705 9 p., 8807170.

Research output: Contribution to journal › Article

distillation
Distillation columns
Fuzzy inference
inference
Neural networks
11 Citations (Scopus)

An Improved Multivariate Chart Using Partial Least Squares with Continuous Ranked Probability Score

Harrou, F., Sun, Y., Madakyaru, M. & Bouyedou, B., 15-08-2018, In : IEEE Sensors Journal. 18, 16, p. 6715-6726 12 p., 8396256.

Research output: Contribution to journal › Article

charts
fault detection
Fault detection
manpower
Monitoring
2 Citations (Scopus)

Enhanced dynamic data-driven fault detection approach: Application to a two-tank heater system

Harrou, F., Madakyaru, M., Sun, Y. & Kammammettu, S., 02-02-2018, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-6 6 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fault Detection
Fault detection
Data-driven
Principal Component Analysis
Principal component analysis
4 Citations (Scopus)

Improved anomaly detection using multi-scale PLS and generalized likelihood ratio test

Madakyaru, M., Harrou, F. & Sun, Y., 09-02-2017, 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., 7849880

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Generalized Likelihood Ratio Test
Anomaly Detection
Likelihood Ratio
Process Industry
Distillation