Aerodynamic database error filtering via SVD-like methods

Jarzabek, Artur A.; Moreno, Ana Ibáñez; Perales, José Manuel Perales; Vega, José M.

doi:10.1016/j.ast.2017.02.007

Cited by 7 publications

(4 citation statements)

References 23 publications

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“…Furthermore, a maximum number of iterations is allowed. If, after these, the conditions in (28) are not met, the obtained solution is not accepted and the process is repeated. The latter situation almost never occurs if the maximum number of iterations is reasonable because, as it will be seen in Section 4, the process generally converges in less than five iterations.…”

Section: Condition Monitoring Tool 2: a Global Constrained Newton-bas...mentioning

confidence: 99%

“…Similar ROMs based on HOSVD plus interpolation have been already used in several fields, including generation of aerodynamic databases [23], continuous real-time control of reciprocating engines [24], and aircraft conceptual design [25,26]. HOSVD-based methods also permit constructing tools for recovering lost data [27] and filtering large errors [28] in multidimensional databases, which are relevant in condition monitoring tasks, including:…”

Section: Introductionmentioning

confidence: 99%

“…Counterpart of Table3using the global, constrained Newton-based method with the tunable parameters appearing in(28) equal to ε 1 = 10 −3 and ε 2 = 10 −4 . The (randomly chosen) initial conditions are also displayed.…”

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confidence: 99%

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A Reduced Order Model for Monitoring Aeroengines Condition in Real Time

Rodrigo,

Sanchez de Leon,

Montañes

et al. 2023

Aerospace

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A very fast reduced order model is developed to monitor aeroengines condition (defining their degradation from a baseline state) in real time, by using synthetic data collected in specific sensors. This reduced model is constructed by applying higher-order singular value decomposition plus interpolation to appropriate data, organized in tensor form. Such data are obtained by means of an engine model that takes the engine physics into account. Thus, the method synergically combines the advantages of data-driven (fast online operation) and model-based (the engine physics is accounted for) condition monitoring methods. Using this reduced order model as surrogate of the engine model, two gradient-like condition monitoring tools are constructed. The first tool is extremely fast and able to precisely compute the turbine inlet temperature ‘on the fly’, which is a paramount parameter for the engine performance, operation, and maintenance, and can only be roughly estimated by the engine instrumentation in civil aviation. The second tool is not as fast (but still reasonably inexpensive) and precisely computes both the engine degradation and the turbine inlet temperature at which sensors data have been acquired. These tools are robust in connection with random noise added to the sensor data and can be straightforwardly applied to other mechanical systems.

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Section: Condition Monitoring Tool 2: a Global Constrained Newton-bas...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Reduced Order Model for Monitoring Aeroengines Condition in Real Time

Rodrigo,

Sanchez de Leon,

Montañes

et al. 2023

Aerospace

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show abstract

“…-259 - There are multiple ways to present afterwards the health condition of the engines to the crew on board in an aircraft (similarly to the engine operators in a ship or in industrial facilities), like the one suggested for the Electronic Centralized Aircraft Monitor (ECAM) of an Airbus A320 in Figure 133 below, to inform about the current health condition of each main component of the engines: It is convenient to recall here that the methodology presented deals with data from the instrumentation, but it does not contain elements to treat signals coming from the different sensors. Signal conditioning is a task that can be performed by means of hardware (e.g., using specific circuits, like the one presented in [30], or in [229]), by software (e.g., applying HOSVD to the measured values, similarly to the way shown in [149]), or by a combination of both.…”

Section: 1-applicability Of the Methodologymentioning

confidence: 99%

Application of ROM-based methods to aeroengines health monitoring, performance, and control

Ramírez¹

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If I had to choose only one person to thank for the support received during the preparation of this document, I would be committing a great injustice, since my path has been enlightened by different estimated collaborators. Nevertheless, I truly have a debt of gratitude with:Dr. Luis Sánchez de León, my dear colleague, because without his unwavering support, his natural born intellectual brilliance, and his complete dedication during these past long years of preparation, even under extremely difficult personal circumstances that still impress me, this work would not have been possible.Dr. José Manuel Vega, master, mentor, and top-class researcher, who provided an enormous support, with his expertise, mindset, generosity, and advice during the sometimes difficult, but still rewarding, elaboration of this thesis. He showed to me the way to follow, he took me under his wings during difficult moments, being a personal and academic reference, while sharing selflessly, even after extremely worrying health circumstances, his vast knowledge regarding the different topics treated in this document.Other brilliant colleagues at ETSIAE-UPM, like Dr. Ángel Velázquez and Dr. Francisco Sastre, have also contributed remarkably to the development of the proposed research line by showing innovative ways to improve results. They provided an unvaluable support during critical moments.And last, but not least, I must thank to the director of this thesis, Dr. José Luis Montañés, master, mentor, and friend since many years, his leading and focused technical approach, his clarity, his passion on everything he endeavors, his smart vision, his continuous support by being always accessible and the pilar upon everything was elevated, and the faith he inexplicably always had in me. I wish I could deserve one day just a fraction of it. He gave me the tools to achieve all the goals I had so far in my life, and he transmitted to me the respect and consideration for the Engineering, the Science, and for our Alma Mater.They are the model or, better said, the mirror in which I wish to contemplate myself in the future. As an engineer, and as a person.Climbing on their shoulders, I could see beyond.

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General introduction and scope of the book

Vega¹,

Clainche²

2021

Higher Order Dynamic Mode Decomposition and Its Applications

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Aerodynamic database error filtering via SVD-like methods

Cited by 7 publications

References 23 publications

A Reduced Order Model for Monitoring Aeroengines Condition in Real Time

A Reduced Order Model for Monitoring Aeroengines Condition in Real Time

Application of ROM-based methods to aeroengines health monitoring, performance, and control

General introduction and scope of the book

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