Intelligent stress and condition indicators for adaptation of control actions

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Condition Monitoring and Asset Management (17. : 2021 : Online) 17th International Conference on Condition Monitoring and Asset Management (CM 2021)
1. Verfasser: Juuso, E. (VerfasserIn)
Pages:17
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Identification of the reasons for shaft vibration non-stationarity of the IBR-2 research reactor mobile reflector 2021 Sizarev, V.
S-discriminant power method of machinery condition vibration monitoring and some of its applications 2021 Sokolova, A.
Optimal feature performance analysis in IESF Ogram for bearing diagnostics 2021 Mauricio, A.
Condition monitoring and failure analysis of liquefied natural gas plant flow zontrol valve stem packing system 2021 Pereira, E. S.
Pipework vibration — why do we not monitor its condition? 2021 Jarvie, I.
Condition monitoring on axial piston pumps: bridging the data gap 2021 Herborg-Enevoldsen, G.
Analysis of wear and contamination particles from in-service oil and filter samples 2021 Korachkin, D.
Oil condition monitoring system 2021 Pu, X.
Wear debris monitoring of wind turbine pitch bearing lubrication 2021 Nowell, T.
Intrared thermal imaging for bone fracture identification and monitoring of fracture healing: a review of the latest developments 2021 Reed, C. L.
Practical use of diagnostic signs of vibration invarlant to machinery construction 2021 Kostyukov, A. V.
Stress control - the main direction in the development of technical diagnostics and condition monitoring 2021 Dubov, A.
Development of a training programme for the safe use of drones in industrial inspections 2021 Rudd, R.
Detecting corrugation defects in harbour railway networks using axle box acceleration data 2021 Heusel, J.
Advances in contact-based non-destructive evaluation using unmanned aerial vehicles 2021 Watson, R.
Visualising vibration: a ‘gamechanger' for troubleshooting, diagnostics and root-cause analysis 2021 Whittle, D.
Predictive techniques and analytics: experience and expectations in Industry 4.0 2021 Pyne, T.
Non-contact respiration rate monitoring: an evaluation of four methods 2021 Stratton, H.
Workshop - Induction motor diagnostics 2021 Ganeriwala, S.
Gear prognostics: a predictive algorithm for lifetime estimation of operating gearboxes 2021 Bergamini, L.
Alle Artikel auflisten