IMUMETER—A Convolution Neural Network-Based Sensor for Measurement of Aircraft Ground Performance

Pytka, Jarosław; Budzyński, Piotr; Tomiło, Paweł; Michalowska, Joanna; Gnapowski, Ernest; Błażejczak, D.; Łukaszewicz, Andrzej

doi:10.3390/s21144726

Cited by 13 publications

(5 citation statements)

References 18 publications

(23 reference statements)

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“…It is shown that the identification accuracy of HDNN is the best and the hazard identification accuracy can be improved by the HDNN which was proposed. Pytka et al [18] presented the development of the IMU-METER sensor which was designed for measuring the aircraft's ground performance and also to study the aircraft movement's dynamics. To develop a sensor for the measurement of airplane motion, airfield performance, etc.…”

Section: Literature Surveymentioning

confidence: 99%

Study on Aircraft Cockpit Function Based on Neural Network

You-chao

2022

Wireless Communications and Mobile Computing

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With the rapid development of numerous airlines, various trend designs have been implemented to develop cockpit interiors for pilots. When communicating with most pilots, they express their emotional feelings about the cockpit. The performance-enhanced cockpit provides the pilot with a better emotional experience, further enhancing the comfort and pleasure of driving. Therefore, it is necessary to provide a cockpit with good performance. Therefore, this paper proposes a novel Neural Network-based Balanced Optimization Algorithm (NN-EOA) for cockpit emotion recognition. The proposed NN-EOA technique simulates quantitative computation with high accuracy and minimizes the error rate during evaluation. Here, images of the interior cockpit design were assessed on four emotional terms, namely, user-friendly (interactive), precise (precise), traditional (traditional), and neat (tidy). Finally, experimental results are performed on various parameters, namely, the mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE) for various techniques. From the experimental evaluations, it can be seen that the proposed NN-EOA provides high agreement rates in the experimental group with the smallest MAE, MAPE, and RMSE.

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Section: Literature Surveymentioning

confidence: 99%

Study on Aircraft Cockpit Function Based on Neural Network

You-chao

2022

Wireless Communications and Mobile Computing

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“…MEMS gyroscopes and MEMS accelerometers are commonly used in aeronautical applications. Characteristic examples of such applications are presented in the works [1][2][3][4][5]. Because of their small size, they are the only possible choice for small UAVs [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…Sci. 2024, 14, x FOR PEER REVIEW 2 of 23 applications are presented in the works [1][2][3][4][5]. Because of their small size, they are the only possible choice for small UAVs [6,7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Stochastic Properties of MEMS Accelerometers and Gyroscopes Used in the Miniature Flight Data Recorder

Rzucidło,

Kopecki,

Szczerba

et al. 2024

Applied Sciences

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MEMS (micro-electro-mechanical system) gyroscopes and accelerometers are used in several applications. They are very popular due to their small size, low price, and accessibility. The design of MEMS accelerometers enables the measurement of vibrations, with frequencies from tenths of hertz to even 1 kHz. MEMS gyroscopes can be applied to measure angular rates, and indirectly also angular oscillations with frequencies similar to accelerometers. Despite significant stochastic errors, MEMS sensors are used not only in popular domestic appliances (e.g., smartphones) but also in safety-critical units, such as aeronautical attitude and heading reference systems (AHRSs). In engineering, methods of stochastic properties analysis are important tools for sensor selection, verification, and the design of measurement algorithms. In this article, three methods used for the analysis of stochastic properties of sensors are presented and comparative analyses are shown. The applied measurement frequencies (1 kHz) were much higher than those typically found in MEMS sensor applications. Additionally, an exemplary analysis of temperature drift frequency, as well as the possibility for the synthesis of complementary filter parameters with the use of the described methods, is shown. Assessment of the stochastic properties of MEMS accelerometers and gyroscopes was performed under both constant and variable temperature conditions (during warm-up after switching on) with the use of classic methods, such as power spectral density (PSD) and Allan variance (AV), as well as the less known but very promising generalized method of wavelet moments (GMWM).

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“…The practical use of an electric discharge in a liquid for destruction (crushing, grinding, and dispersion) has significantly outstripped the study of the theoretical foundations of the mechanism of electrohydraulic destruction of materials. This was also facilitated by the fact that for a long time the action of an electrohydraulic discharge was completely identified with the action of explosives, but several important factors inherent only in an electrohydraulic discharge were not taken into account [37][38][39][40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Energy Efficiency of Dielectric Materials’ Electrodischarge Dispersion as One Sustainable Development Green Trend

Malyushevskaya,

Petrychenko,

Przystupa

et al. 2023

Energies

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Increasing the energy efficiency of production processes is closely related to minimizing the impact on the environment and is one of the priorities of the concept of sustainable development. Electric discharge is an effective tool for multilevel grinding of non-metallic materials in various working fluids and obtaining coarse and fine suspensions. We introduce the technique for calculating the electrotechnological parameters necessary for energy-efficient electric discharge dispersion. This technique considers the strength characteristics of the crushed material (dispersed phase) and the electrical conductivity of the working fluid (dispersed medium). It is also essential to consider the energy stored in the capacitor bank, the energy criterion, the critical value of the working fluid’s electrical strength, the radius of the high-voltage electrode point, and the distance from the discharge channel axis to the disintegration object. All this allows obtaining a given granulometric composition of the dispersed phase with minimal energy consumption. Experiments confirmed the validity of the proposed calculation technique. We obtained the water-brown coal suspension with a given dispersion two times faster and consumed four times less energy in comparison with the known methods that did not take into account the electrical conductivity of the working liquid and the mechanical strength of the crushed material.

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IMUMETER—A Convolution Neural Network-Based Sensor for Measurement of Aircraft Ground Performance

Cited by 13 publications

References 18 publications

Study on Aircraft Cockpit Function Based on Neural Network

Study on Aircraft Cockpit Function Based on Neural Network

Analysis of Stochastic Properties of MEMS Accelerometers and Gyroscopes Used in the Miniature Flight Data Recorder

Optimizing Energy Efficiency of Dielectric Materials’ Electrodischarge Dispersion as One Sustainable Development Green Trend

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