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2010 – 2019
- 2018
[c6]Daniel Lewandowski, Diego Pareschi, Waldemar Pakos, Enrico Ragaini:
Future of IoTSP - IT and OT Integration. FiCloud 2018: 203-207- [c5]Ido Amihai, Moncef Chioua, Ralf Gitzel, Arzam Muzaffar Kotriwala, Diego Pareschi, Guruprasad Sosale, Subanatarajan Subbiah:
Modeling Machine Health Using Gated Recurrent Units with Entity Embeddings and K-Means Clustering. INDIN 2018: 212-217 - [c4]Ido Amihai, Ralf Gitzel, Arzam Muzaffar Kotriwala, Diego Pareschi, Subanatarajan Subbiah, Guruprasad Sosale:
An Industrial Case Study Using Vibration Data and Machine Learning to Predict Asset Health. CBI (1) 2018: 178-185 - 2017
- [c3]Piotr Lipnicki, Daniel Lewandowski, Michal Kaczmarek, Andrea Cortinovis, Diego Pareschi:
Voltage Dips Influence on Time to Surge in Compressor Application. DPS 2017: 347-356 - 2016
- [j1]Andrea Cortinovis, Mehmet Mercangöz, Matteo Zovadelli, Diego Pareschi, Antonio De Marco, Sergio Bittanti:
Online performance tracking and load sharing optimization for parallel operation of gas compressors. Comput. Chem. Eng. 88: 145-156 (2016) - 2014
- [c2]Andrea Cortinovis, Matteo Zovadelli, Mehmet Mercangöz, Diego Pareschi, Antonio De Marco, Sergio Bittanti:
Online adaptation of performance maps for centrifugal gas compressors. ECC 2014: 1036-1041 - 2013
- [c1]Francesco Paparella, Luis F. Dominguez, Andrea Cortinovis, Mehmet Mercangöz, Diego Pareschi, Sergio Bittanti:
Load sharing optimization of parallel compressors. ECC 2013: 4059-4064
Coauthor Index
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