Fault tolerant multi-sensor data fusion for autonomous navigation in future civil aviation operations

Ifqir, Sara; Combastel, Christophe; Zolghadri, Ali; Goupil, Philippe; Merlet, Samuel

doi:10.1016/j.conengprac.2022.105132

Cited by 15 publications

(3 citation statements)

References 19 publications

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“…Most of the data acquired by the sensor is used to obtain the state of the system or to perceive the surrounding environment [21]. Nowadays, the mainstream environmental perception methods can be roughly divided into two types: imagebased information perception and wave-based information perception according to the working principle of the sensor [22,23]. On the basis of the first-level Kalman filter, in order to effectively and reasonably evaluate a variety of environmental factors, the fuzzy comprehensive evaluation method can avoid the limitation of a single sensor to evaluate the environmental quality.…”

Section: Introductionmentioning

confidence: 99%

The Application of Multisensor Information Fusion Technology in Environmental Restoration

Youhua

Guo

et al. 2022

Journal of Sensors

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Multisensor information fusion technology is an advanced processing method that is different from classical data processing technology. Capability and operational accuracy, in order to make an effective comprehensive evaluation of environmental quality, the environmental monitoring system built by NB-IoT technology and sensor technology is used to conduct multisensor data fusion research on the collected environmental factors such as temperature, humidity, formaldehyde, PM2.5, and TVOC. At the same time, the two-level parallel fusion method is adopted to evaluate the environmental quality. Before data fusion, median filtering is used to eliminate abnormal data. Then, the Kalman filter algorithm is used to fuse multiple sets of similar sensors to obtain the best value of it. Finally, the fuzzy comprehensive evaluation method is used to fuse the different types of sensors at the decision-making level, in which the weight value is determined by the entropy method and the membership function is Gaussian. The different environment scenarios are tested by using the above algorithms, and the simulation results show that multisensor data fusion can obtain more abundant and effective environmental information, overcome the simplicity and limitation of single-factor sensor for environmental quality assessment, and improve the reliability and accuracy of the overall environmental quality assessment.

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Section: Introductionmentioning

confidence: 99%

The Application of Multisensor Information Fusion Technology in Environmental Restoration

Youhua

Guo

et al. 2022

Journal of Sensors

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“…Industri ini mencakup sejumlah kegiatan, termasuk pembuatan pesawat terbang, perbaikan dan pemeliharaan pesawat, pengoperasian maskapai penerbangan, pengelolaan bandar udara, serta layanan pendukung seperti layanan penerbangan kargo dan pariwisata (Petrović, 2024;Xue, 2023;Yin, 2024). Industri penerbangan juga melibatkan berbagai profesi, seperti pilot, pramugari, insinyur penerbangan, teknisi pesawat terbang, dan manajer operasi penerbangan (Dave, 2022;Ge, 2022;Ifqir, 2022).…”

Section: Pendahuluanunclassified

Analisis Peran Kantor Otoritas Bandara Wilayah III dalam mengawasi Fasilitas Navigasi Penerbangan di Bandar Udara Internasional Juanda Surabaya

Kurniawan,

Putri Astutik

2024

aero

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Industri penerbangan adalah sektor ekonomi yang terkait dengan perancangan, produksi, operasi, dan pelayanan yang berkaitan dengan pesawat terbang dan seluruh aspek yang terkait dengan penerbangan. Tujuan dilakukannya penelitian ini yaitu untuk mengetahui apakah kemampuan sumber daya manusia dan peralatan yang terbatas di Kantor Otoritas Bandar Udara Wilayah III dapat menunjang kinerja petugas saat melakukan pengawasan. Penelitian ini menggunakan metode kualitatif dan memanfaatkan data primer dan data sekunder. Metode pengumpulan data yang digunakan meliputi observasi, wawancara, dan dokumentasi. Data yang terkumpul kemudian dianalisis melalui tahap reduksi data, penyajian data, dan penarikan kesimpulan. Penelitian ini menyimpulkan hasil bahwa Pengawasan pelayanan navigasi penerbangan di kantor otoritas bandar udara wilayah III Juanda Surabaya oleh petugas navigasi penerbangan telah dilaksanakan dengan baik, namun masih ada beberapa kendala yaitu kemampuan sumber daya manusia, finding, dan terbatasnya personil. Namun kantor otoritas bandar udara wilayah III dapat mengatasi kendala tersebut dengan beberapa solusi yaitu penambahan jumlah sumber daya manusia, melakukan pelatihan terhadap personil navigasi serta menerima personil baru berlisensi atau bersertifikasi. Keterbatasannya fasilitas peralatan navigasi di kantor otoritas bandar udara wilayah III tidak mempengaruhi kinerja petugas. Sehingga dapat disimpulkan bahwa dengan terbatasnya peralatan tidak menghambat kinerja petugas dalam melakukan pengawasan dan dapat menunjang kinerja petugas saat melakukan pengawasan.

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“…Moreover, the system sensors may be measuring signals which are not comparable with each other, which may make merging them with a sensor fusion technique difficult. To avoid this last drawback, in the literature changing the sensor coordinates has been proposed [12,13]; regrettably this strategy is limited to very particular cases.…”

Section: Introductionmentioning

confidence: 99%

Sensor Fusion Architecture for Fault Diagnosis with a Predefined-Time Observer

Begovich,

Lizárraga,

Ramírez-Treviño

2024

Algorithms

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This study focuses on generating reliable signals from measured noisy signals through an enhanced sensor fusion method. The main contribution of this research is the development of a novel sensor fusion architecture that creates virtual sensors, improving the system’s redundancy. This architecture utilizes an input observer to estimate the system input, then it is introduced to the system model, the output of which is the virtual sensor. Then, this virtual sensor includes two filtering stages, both derived from the system’s dynamics—the input observer and the system model—which effectively diminish noise in the virtual sensors. Afterwards, the same architecture includes a classical sensor fusion scheme and a voter to merge the virtual sensors with the real measured signals, enhancing the signal reliability. The effectiveness of this method is shown by applying merged signals to two distinct diagnosers: one utilizes a high-order sliding mode observer, while the other employs an innovative extension of a predefined-time observer. The findings indicate that the proposed architecture improves diagnostic results. Moreover, a three-wheeled omnidirectional mobile robot equipped with noisy sensors serves as a case study, confirming the approach’s efficacy in an actual noisy setting and highlighting its principal characteristics. Importantly, the diagnostic systems can manage several simultaneous actuator faults.

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Fault tolerant multi-sensor data fusion for autonomous navigation in future civil aviation operations

Cited by 15 publications

References 19 publications

The Application of Multisensor Information Fusion Technology in Environmental Restoration

The Application of Multisensor Information Fusion Technology in Environmental Restoration

Analisis Peran Kantor Otoritas Bandara Wilayah III dalam mengawasi Fasilitas Navigasi Penerbangan di Bandar Udara Internasional Juanda Surabaya

Sensor Fusion Architecture for Fault Diagnosis with a Predefined-Time Observer

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