Detecting Serial Arcs in Aeronautical Applications Using Inductive Sensors

被引:2
|
作者
Robles, Guillermo [1 ]
Manuel Martinez-Tarifa, Juan [1 ]
Gomez-de-la-Calle, Manuel [2 ,3 ]
Barroso-de-Maria, Gabriel [2 ]
Izquierdo, Daniel [2 ]
机构
[1] Univ Carlos III Madrid, Dept Elect Engn, Leganes 28911, Spain
[2] Airbus Def & Space, Dept Elect & Lights, Getafe 28906, Spain
[3] ICAI Comillas Pontifical Univ, Dept Elect Engn, Madrid 28015, Spain
关键词
Sensors; Aircraft; Electrodes; Sensor phenomena and characterization; Aircraft propulsion; Wires; Antenna arrays; Condition monitoring; inductive sensors; more electrical aircraft (MEA); serial arcs; signal characterization; spectrography; FAULT-DETECTION METHOD; AIRCRAFT; SPECTRUM; SYSTEMS; LOCATION;
D O I
10.1109/TAES.2021.3128868
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
There is a clear trend in the aircraft industry to use more electrical systems in propulsion and electromechanical and electrohydraulic actuators to comply with environmental sustainability and to improve reliability and maintenance processes. The increase of electrical consumption requires an increase of the rated voltages to supply power to these so called more electrical aircraft (MEA). Unfortunately, this voltage rise, currently up to 540 V$_{dc}$, can lead to ionization processes within the electric wiring due to the lower air density at high altitudes. As a consequence, a degraded insulation can create extremely hazardous events in flight such as arcs between wires (serial) or between wires and fuselage (parallel). Serial arcs in dc bus circuits are specially dangerous for the aircraft operation, so its detection within fractions of seconds is required to ensure a reliable operation. However, during a sustained serial arc the rated current can be passing through air deceiving the protections and avoiding their tripping. In this article, it has been found that arcing introduces high frequency current pulses superimposed to the dc component that can be identified to detect the occurrence of an arc. The frequency components of these pulses depend on the line characteristics and can be detected with inductive sensors. This manuscript also designs and tests a light and inexpensive sensor for arc detection in aircraft applications.
引用
收藏
页码:2073 / 2082
页数:10
相关论文
共 50 条
  • [41] Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning
    Rath, Bhavtosh
    Salecha, Aadesh
    Srivastava, Jaideep
    [J]. 2020 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM), 2020, : 182 - 189
  • [42] Partial discharges and noise separation in high frequency signals using inductive sensors
    Martinez-Tarifa, J. M.
    Rojas, M.
    Robles, G.
    MacPherson, B.
    Moore, P.
    Portugues, I.
    [J]. 2012 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2012, : 1607 - 1611
  • [43] Flexible Touchpads Based on Inductive Sensors Using Embedded Conductive Composite Polymer
    Rahbar, A.
    Rahbar, M.
    Gray, B. L.
    [J]. NANOSENSORS, BIOSENSORS, AND INFO-TECH SENSORS AND SYSTEMS 2014, 2014, 9060
  • [44] Measuring gaps using planar inductive sensors based on calculating mutual inductance
    Jiao, Dian
    Ni, Liwei
    Zhu, Xiaoliang
    Zhe, Jiang
    Zhao, Ziyu
    Lyu, Yaguo
    Liu, Zhenxia
    [J]. SENSORS AND ACTUATORS A-PHYSICAL, 2019, 295 : 59 - 69
  • [45] Automation Monitoring With Sensors For Detecting Covid Using Backpropagation Algorithm
    Kshirsagar, Pravin R.
    Manoharan, Hariprasath
    Tirth, Vineet
    Naved, Mohd
    Siddiqui, Ahmad Tasnim
    Sharma, Arvind K.
    [J]. KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2021, 15 (07): : 2414 - 2433
  • [46] Detecting Psychological Interventions Using Bilateral Electromyographic Wearable Sensors
    Veeranki, Yedukondala Rao
    Garcia-Retortillo, Sergi
    Papadakis, Zacharias
    Stamatis, Andreas
    Appiah-Kubi, Kwadwo Osei
    Locke, Emily
    Mccarthy, Ryan
    Torad, Ahmed Ali
    Kadry, Ahmed Mahmoud
    Elwan, Mostafa Ali
    Boolani, Ali
    Posada-Quintero, Hugo F.
    [J]. SENSORS, 2024, 24 (05)
  • [47] Detecting Falls with Wearable Sensors Using Machine Learning Techniques
    Ozdemir, Ahmet Turan
    Barshan, Billur
    [J]. SENSORS, 2014, 14 (06) : 10691 - 10708
  • [48] Monitoring of wear in wind turbine gearsets using inductive metallic particle sensors
    Lunt, Stuart
    Dines, Michael
    [J]. 8TH INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND MACHINERY FAILURE PREVENTION TECHNOLOGIES 2011, VOLS 1 AND 2, 2011, : 1180 - 1191
  • [49] Detecting deformation of a soft cylindrical structure using piezoelectric sensors
    Jiyong Min
    Hojoon Kim
    Youngsu Cha
    [J]. Intelligent Service Robotics, 2024, 17 : 85 - 94
  • [50] Towards detecting the human immunodeficiency virus using microcantilever sensors
    Alodhayb, Abdullah
    Brown, Nicole
    Rahman, S. M. Saydur
    Harrigan, Richard
    Beaulieu, L. Y.
    [J]. APPLIED PHYSICS LETTERS, 2013, 102 (17)