• 272 Citations
  • 9 h-Index
19962019
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Personal profile

Research Interests

Chemical Engineering

Education/Academic qualification

Indian Institute of Technology, Bombay

15-07-200508-08-2010

National Institute of Technology Karnataka

15-07-199615-08-1996

RVCE

01-08-199130-07-1995

External positions

16-01-201131-07-2014

16-07-200815-01-2011

16-07-200515-07-2008

22-09-199915-07-2005

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

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Research Output 1996 2019

  • 272 Citations
  • 9 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 proceedingConference contribution

Anomaly Detection
Dynamic Analysis
Principal component analysis
Principal Component Analysis
Anomaly
9 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 journalArticle

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 proceedingConference 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 proceedingConference contribution

Generalized Likelihood Ratio Test
Anomaly Detection
Likelihood Ratio
Process Industry
Distillation
12 Citations (Scopus)

Improved data-based fault detection strategy and application to distillation columns

Madakyaru, M., Harrou, F. & Sun, Y., 2017, In : Process Safety and Environmental Protection. 107, p. 22-34 13 p.

Research output: Contribution to journalArticle

Distillation columns
distillation
Fault detection
Wavelet analysis
Process monitoring