Analysis of transient data in test designs for active fault detection and identification

Palmer, Kyle A.; Bollas, George M.

doi:10.1016/j.compchemeng.2018.06.020

Cited by 13 publications

(5 citation statements)

References 39 publications

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“…From the perspective of the physical model, Baig proposed a multi-fault diagnosis expert system [30]. Palmer suggested that data/information collection and processing as well as database technology played an important role in aircraft fault diagnosis [31]. Kordestani proposed an integrated system to classify fault localization [32].…”

Section: Fault Diagnosis and Reliability Evaluation Of Complex Systemmentioning

confidence: 99%

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Industrial Big Data and Computational Sustainability: Multi-Method Comparison Driven by High-Dimensional Data for Improving Reliability and Sustainability of Complex Systems

Liu

Jia

2019

Sustainability

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Sustainable development is of great significance. The emerging research on data-driven computational sustainability has become an effective way to solve this problem. This paper presents a fault diagnosis and prediction framework for complex systems based on multi-dimensional data and multi-method comparison, aimed at improving the reliability and sustainability of the system by selecting methods with relatively superior performance. This study took the avionics system in the industrial field as an example. Based on the literature research on typical fault modes and fault diagnosis requirements of avionics systems, three popular high-dimensional data-driven fault diagnosis methods—support vector machine, convolutional neural network, and long- and short-term memory neural network—were comprehensively analyzed and compared. Finally, the actual bearing failure data were used for programming in order to verify and compare various methods and the process of selecting the superior method driven by high-dimensional data was fully demonstrated. We attempt to provide a sustainable development idea that continuously explores multi-method integration and comparison, aimed at improving the calculation efficiency and accuracy of reliability assessments, optimizing system performance, and ultimately achieving the goal of long-term improvement of system reliability and sustainability.

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Section: Fault Diagnosis and Reliability Evaluation Of Complex Systemmentioning

confidence: 99%

“…3. With a larger system scale, it is difficult to establish a model for hierarchical requirements of the system [21,[23][24][25][26][27][29][30][31]33]. 4.…”

Section: Svm Theorymentioning

confidence: 99%

Industrial Big Data and Computational Sustainability: Multi-Method Comparison Driven by High-Dimensional Data for Improving Reliability and Sustainability of Complex Systems

Liu

Jia

2019

Sustainability

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“…With the increasing requirements of aircraft maneuverability, stealth, and supersonic cruise capability, the number and power of onboard electronic equipment is increasing, which greatly increases the aircraft thermal load and puts forward new requirements for aircraft heat dissipation capability [1][2]. Future aircraft available heat sinks are limited.…”

Section: Introductionmentioning

confidence: 99%

Heat transfer and flow characterisation of aircraft heat exchangers considering manufacturing constraints

Lei,

Wan,

2024

Applied Mathematics and Nonlinear Sciences

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With the progress and development of the times, the traditional aircraft power system and difficult to meet the needs of the current aviation development, for the aircraft power and heat exchanger research has been more and more extensive attention. This study takes the heat exchanger of the aircraft loop control system as an example, constructs the thermal management system of the aircraft according to the mechanism of its heat transfer and flow characteristics, and optimizes it under the consideration of manufacturing constraints. Based on the theory of fluid mechanics, the aircraft heat exchanger is simulated, and control equations based on heat transfer and flow characteristics are established. In this paper, the temperature difference of the heat exchanger is increased by 6.5°C and 5.4°C, respectively, and the heat transfer coefficient is between 11 and 14 kW/m²k. Furthermore, the fluid temperature has risen from 0.05 to 0.5 to 0.30 to 0.87 with the increase in flow rate. The maximum deviation values were 8.3%, 6.7%, and 8.6%, respectively, and the confidence intervals were all above 90%. This study can effectively improve the efficiency of aircraft heat exchangers compared to traditional heat exchangers and has more advantages in heat transfer performance, which provides a reference value for the development of the aviation field.

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“…Improved results can be reached if one uses transient regimes, such as a steep variation of one of the flowrates, which allows a better followed up of the Overal heat transfer coefficient, using dynamic models and state estimation through Kalman filterng, see [6,7] or variation of the fluid inlet temperatures [8].…”

Section: Introductionmentioning

confidence: 99%

“…A common approach for fouling detection consists in comparing experimental temperatures with those predicted by a reduced model developed earlier [11], [12]. Recently Palmer et al [13,7] attempted to quantify fouling in a cross-flow plate fin heat exchanger. The idea was based on the minimization of the differences between the measured temperatures and their predictions by a model that takes fouling into account.…”

Section: Introductionmentioning

confidence: 99%

Fouling detection in a shell and tube heat exchanger using variation of its thermal impulse responses: Methodological approach and numerical verification

Hadad

Schick

Maillet

2019

Applied Thermal Engineering

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Analysis of transient data in test designs for active fault detection and identification

Cited by 13 publications

References 39 publications

Industrial Big Data and Computational Sustainability: Multi-Method Comparison Driven by High-Dimensional Data for Improving Reliability and Sustainability of Complex Systems

Industrial Big Data and Computational Sustainability: Multi-Method Comparison Driven by High-Dimensional Data for Improving Reliability and Sustainability of Complex Systems

Heat transfer and flow characterisation of aircraft heat exchangers considering manufacturing constraints

Fouling detection in a shell and tube heat exchanger using variation of its thermal impulse responses: Methodological approach and numerical verification

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