| Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations F Serdio, E Lughofer, K Pichler, T Buchegger, M Pichler, H Efendic Information Fusion 20, 272-291, 2014 | 88 | 2014 |
| Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills F Serdio, E Lughofer, K Pichler, T Buchegger, H Efendic Information Sciences 259, 304-320, 2014 | 88 | 2014 |
| Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters F Serdio, E Lughofer, AC Zavoianu, K Pichler, M Pichler, T Buchegger, ... Applied Soft Computing 51, 60-82, 2017 | 36 | 2017 |
| Fuzzy fault isolation using gradient information and quality criteria from system identification models F Serdio, E Lughofer, K Pichler, M Pichler, T Buchegger, H Efendic Information Sciences 316, 18-39, 2015 | 23 | 2015 |
| Reducing false positives for residual-based on-line fault detection by means of filters F Serdio, E Lughofer, K Pichler, T Buchegger, M Pichler, H Efendic 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014 | 3 | 2014 |
| Gradient-based fuzzy fault isolation in residual-based fault detection systems F Serdio, E Lughofer, K Pichler, T Buchegger, M Pichler, H Efendic 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1428-1435, 2014 | 2 | 2014 |
| Multivariate Fault Detection using Vector Autoregressive Moving Average and Orthogonal Transformation in Residual Space F Serdio, E Lughofer, K Pichler, T Buchegger, M Pichler, H Efendic 2013 Annual Conference of the Prognostics and Health Management (PHM …, 2013 | 2 | 2013 |
| Data-Driven Residual-Based Fault Detection for Condition Monitoring in Rolling Mills F Serdio, E Lughofer, K Pichler, T Buchegger, H Efendic IFAC Proceedings Volumes 46 (9), 1530-1535, 2013 | 1 | 2013 |
| Hybrid Genetic-Fuzzy Systems for improved performance in Residual-Based Fault Detection F Serdio, AC Zăvoianu, E Lughofer, K Pichler, T Buchegger, H Efendic 2014 Sixth World Congress on Nature and Biologically Inspired Computing …, 2014 | | 2014 |
| Condition Monitoring at Rolling Mills with Data-Driven Residual-Based Fault Detection F Serdio, E Lughofer, T Buchegger, K Pichler, H Efendic Manufacturing Modelling, Management, and Control 7 (1), 1530-1535, 2013 | | 2013 |
| A Fault Detection and Isolation Software Framework for Repeatable and Comparable Experimentation F Serdio, E Lughofer | | |
