Research Output per year
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 → 31-07-201416-07-2008 → 15-01-201116-07-2005 → 15-07-200822-09-1999 → 15-07-2005Fingerprint 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
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
8
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., 7849880Research output: Chapter in Book/Report/Conference proceeding › Conference 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 journal › Article
Distillation columns
distillation
Fault detection
Wavelet analysis
Process monitoring