... as a renewable resource, ensuring effective monitoring and maintenance of wind turbines is increasingly important. Despite the large volume of data collected by Supervisory Control and Data Acquisition (SCADA) systems, extracting key feature information to construct successful condition monitoring models remains...

... margin prediction. In contrast, the LSTM model proves most effective in predicting Remaining Useful Life, with an RMSE of 53.64 flight cycles. In conclusion, deep CNN and LSTM models showed a promising method for accurate engine condition monitoring and RUL predictions. deep learning condition...

... on a test rig and on field installations provides the opportunity to monitor the health of a DGS. dry gas seals acoustic emissions condition monitoring Proceedings of ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition GT2024 June 24-28, 2024, London, United Kingdom GT2024...

... sensitivity for predicting variations in the operating conditions and are the basis for other prognostic analyses. recurrence plots condition monitoring numerical integration Proceedings of ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition GT2023 June 26-30, 2023, Boston...

.... gas turbine turbofan modelling condition monitoring gas path analysis Proceedings of ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition GT2023 June 26-30, 2023, Boston, Massachusetts, USA GT2023-103548 SYSTEMATIC APPROACH FOR MODELLING MODERN TURBOFAN ENGINES Shivan Ramdin1...

... operating speed grid of interest. Last, we demonstrate the proposed methodology on a real vibration signal captured from an accessory gearbox of a CFM56 aircraft engine, with multiple bearing faults. bearing vibration diagnostic condition monitoring aircraft non-stationary regime Proceedings...

... Abstract Studies in condition monitoring literature often aim to detect rolling element bearing faults because they have one of the biggest shares among defects in turbo machinery. Accordingly, several prognosis and diagnosis methods have been devised to identify fault signatures from vibration...

... Proceedings of ASME Turbo Expo 2021 Turbomachinery Technical Conference and Exposition GT2021 June 7-11, 2021, Virtual, Online GT2021-60280 CONDITION MONITORING OF WIND TURBINES BASED ON THE SCATTERING TRANSFORM OF VIBRATION DATA Junyu Qi1,2, Alexandre Mauricio1,2, Konstantinos Gryllias1,2 1...

... potential in gas turbine fault analysis. neural network gas turbine condition monitoring interpretability sudden failure detection gradual deterioration detection DYNAMIC GAS TURBINE CONDITION MONITORING SCHEME WITH MULTI-PART NEURAL NETWORK Zhouzheng Li2, Kun Feng1, 2*, Binbin Yan2 1Beijing...

... Abstract This paper introduces a data-driven framework for combustor-focused, performance-based condition monitoring of gas turbines. Commercial condition monitoring systems typically generate huge amounts of data that make efficient onboard monitoring challenging. This paper focuses...

... in 2019. Manufacturers and operators try to reduce O&M on one hand by developing new turbine designs and on the other hand by adopting condition monitoring approaches. One of the most critical and rather complex assembly of wind turbines is the gearbox. Gearboxes are designed to last till the end...

..., Aerospace and Civil Engineering The University of Manchester Manchester, England [email protected] ABSTRACT The current state-of-the-art in vibration-based condition monitoring of rotating machines requires a number of vibration transducers at each bearing pedestal of a rotating machine...

... 07 05 2012 The main driver behind developing advanced condition monitoring (CM) systems for the wind energy industry is the delivery of improved asset management regarding the operation and maintenance of the gearbox and other wind turbine components and systems. Current gearbox CM...

... to detect trends in the measured data indicating a change in the health status of the engine, requiring operational data only for model development. artificial neural networks reheat gas turbine non-reheat condition monitoring on-line monitoring NEW ALSTOM MONITORING TOOLS LEVERAGING...

... 23 02 2010 This paper presents three different gas turbine condition monitoring models developed by artificial neural networks. Operational data from an ALSTOM GT11-N1 has been employed for training and evaluation of the artificial neural network models. The developed models differ...

...Proceedings of ASME Turbo Expo 2009: Power for Land, Sea and Air GT2009 C TI s l P ne niv 1 0 Investigation of a novel condition monitoring approach, combining artificial neural network (ANN) with a sequential equation based iterative solvers might not be the best alternative for online tasks...

... 05 02 2009 The Naval University of Gdynia (NUG) over the years have developed quite an extensive Condition Monitoring and Fault Diagnosis system and has applied this for some time now on Naval Gas Turbines of the Polish Navy. An outline of the system and its use is given in the paper...

.... As the measurement trace over the turbine airfoil consists of areas on the blade that are covered with TBC as well as uncovered areas, a very interesting comparison on the merits of the various systems can be presented. Thermal Barrier Coating Radiation thermometry Optical properties Condition monitoring...

... to assess the significance of the deviation. KEYWORDS: Condition Monitoring; Gas Turbine Compressor INTRODUCTION Most pipeline turbines employ digital control systems, which record numerous operating parameters (in addition to controlling the turbine and driven compressor). Such data can form the basis...