A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes

Autor: Mirko Mazzoleni, Kisan Sarda, Antonio Acernese, Luigi Russo, Leonardo Manfredi, Luigi Glielmo, Carmen Del Vecchio

Since the introduction of the industry 4.0 paradigm, manufacturing companies are investing in the development of algorithmic diagnostic solutions for their industrial equipment, relying on measured data and process models. However, process and fault

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::263a694908615b270fe067411325ab91
https://hdl.handle.net/11588/910708

Fault Diagnosis in Industries: How to Improve the Health Assessment of Rotating Machinery

Autor: Alberto Regattieri, Francesco Gabriele Galizia, Marco Bortolini, Francesca Calabrese

Publikováno v: Sustainable Design and Manufacturing ISBN: 9789811661273

Rotating machinery like pumps, compressors, and engines, are widespread in industries. A failure in one or more of their components, e.g., rolling bearings and gearboxes, may cause system breakdowns or even catastrophic events. Hence, fault diagnosis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab3c97915a59eb4495fb246bb218fec9
https://doi.org/10.1007/978-981-16-6128-0_25

Fuzzy and neural network approaches to wind turbine fault diagnosis

Autor: Silvio Simani, Saverio Farsoni, Paolo Castaldi

Publikováno v: Applied Sciences, Vol 11, Iss 5035, p 5035 (2021)
Applied Sciences
Volume 11
Issue 11

The fault diagnosis of safety critical systems such as wind turbine installations includes extremely challenging aspects that motivate the research issues considered in this paper. In fact, the prompt detection and the reliable diagnosis of faults in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::476c45ade7f196e15f5f5c3d599dc804
http://hdl.handle.net/11585/861227

Machine Learning-as-a-Service for Consumer Electronics Fault Diagnosis: a Comparison between Matlab and Azure ML

Autor: Paolo Cicconi, Andrea Monteriù, E. Pallotta, F. Giuggioloni, Alessandro Freddi, C. Verdini, Mariorosario Prist, E. Caizer, Sauro Longhi, Lucio Ciabattoni

Publikováno v: ICCE

Today, the improvement of the product value in consumer goods, such as new services to increase the positive customer experience, is the subject of many research activities. In a context where the product complexity becomes ever greater and the produ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aaf303b9b1c945ef8eb6ac5c7a8b516
https://doi.org/10.1109/icce46568.2020.9043014

Fault diagnosis and fault-tolerant control techniques for aircraft systems

Autor: Silvio Simani, Nicola Mimmo, Paolo Castaldi

Publikováno v: Fault Diagnosis and Fault-tolerant Control of Robotic and Autonomous Systems ISBN: 9781785618307
Fault Diagnosis and Fault-tolerant Control of Robotic and Autonomous Systems

This chapter analyses and discusses an active fault-tolerant control (FTC) system for avionic applications. The approach applies to an aircraft longitudinal autopilot in the presence of faults affecting the system actuators. The key point of the deve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d7261e9b8d04baabcea051f90e196df
http://hdl.handle.net/11585/880315