Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning
Unmanned aerial vehicles (UAVs) are used in many fields including weather observation, farming, infrastructure inspection, and monitoring of disaster areas. However, the currently available UAVs are prone to crashing. The goal of this paper is the development of an anomaly detection system to preven...
Saved in:
Published in | IEEE internet of things journal Vol. 5; no. 4; pp. 2315 - 2322 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Piscataway
IEEE
01.08.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Unmanned aerial vehicles (UAVs) are used in many fields including weather observation, farming, infrastructure inspection, and monitoring of disaster areas. However, the currently available UAVs are prone to crashing. The goal of this paper is the development of an anomaly detection system to prevent the motor of the drone from operating at abnormal temperatures. In this anomaly detection system, the temperature of the motor is recorded using DS18B20 sensors. Then, using reinforcement learning, the motor is judged to be operating abnormally by a Raspberry Pi processing unit. A specially built user interface allows the activity of the Raspberry Pi to be tracked on a Tablet for observation purposes. The proposed system provides the ability to land a drone when the motor temperature exceeds an automatically generated threshold. The experimental results confirm that the proposed system can safely control the drone using information obtained from temperature sensors attached to the motor. |
---|---|
AbstractList | Unmanned aerial vehicles (UAVs) are used in many fields including weather observation, farming, infrastructure inspection, and monitoring of disaster areas. However, the currently available UAVs are prone to crashing. The goal of this paper is the development of an anomaly detection system to prevent the motor of the drone from operating at abnormal temperatures. In this anomaly detection system, the temperature of the motor is recorded using DS18B20 sensors. Then, using reinforcement learning, the motor is judged to be operating abnormally by a Raspberry Pi processing unit. A specially built user interface allows the activity of the Raspberry Pi to be tracked on a Tablet for observation purposes. The proposed system provides the ability to land a drone when the motor temperature exceeds an automatically generated threshold. The experimental results confirm that the proposed system can safely control the drone using information obtained from temperature sensors attached to the motor. |
Author | Huimin Lu Yujie Li Dong Wang Shenglin Mu Kim, Hyoungseop Serikawa, Seiichi |
Author_xml | – sequence: 1 surname: Huimin Lu fullname: Huimin Lu email: mu.shenglin.du@ehime-u.ac.jp organization: Dept. of Mech. & Control Eng., Kyushu Inst. of Technol., Kitakyushu, Japan – sequence: 2 surname: Yujie Li fullname: Yujie Li email: liyujie@yzu.edu.cn organization: Yangzhou Univ., Yangzhou, China – sequence: 3 surname: Shenglin Mu fullname: Shenglin Mu email: mu.shenglin.du@ehime-u.ac.jp organization: Grad. Sch. of Sci. & Eng., Ehime Univ., Matsuyama, Japan – sequence: 4 surname: Dong Wang fullname: Dong Wang email: wdice@dlut.edu.cn organization: Sch. of Inf. & Commun. Eng., Dalian Univ. of Technol., Dalian, China – sequence: 5 givenname: Hyoungseop surname: Kim fullname: Kim, Hyoungseop organization: Dept. of Control Eng., Kyushu Inst. of Technol., Kitakyushu, Japan – sequence: 6 givenname: Seiichi surname: Serikawa fullname: Serikawa, Seiichi email: serikawa@elcs.kyutech.ac.jp organization: Dept. of Electr. & Electron. Eng., Kyushu Inst. of Technol., Kitakyushu, Japan |
BookMark | eNpNkE9LAzEQxYMoWGs_gHgJeG5NNtnN5ljqv0qlKK3XkM1OdMtuUpPtod_elBaROczw-L0Z5l2hc-cdIHRDyYRSIu9f58vVJCNUTDLBBBfyDA0ylokxL4rs_N98iUYxbgghyZZTWQzQ-5vvfcBT5zvd7vED9GD6xjtsk7p2nXYOajyF0OgWf8J3Y1qIeB0b94U_oHEJM9CB6_ECdHBJvkYXVrcRRqc-ROunx9XsZbxYPs9n08XYcCL6sZCFtkJLbViaiAbDmbG1pYxYUuu8KmtZyrzK66pmVcGptTx9RlhpuCwIY0N0d9y7Df5nB7FXG78LLp1UGaWCslQiUfRImeBjDGDVNjSdDntFiTqEpw7hqUN46hRe8twePQ0A_PElIZxzyn4BWr9sfQ |
CODEN | IITJAU |
CitedBy_id | crossref_primary_10_1109_ACCESS_2019_2922257 crossref_primary_10_1007_s11280_021_00976_2 crossref_primary_10_1016_j_compeleceng_2020_106766 crossref_primary_10_1007_s12652_021_02895_6 crossref_primary_10_1016_j_cogr_2023_08_002 crossref_primary_10_1016_j_compeleceng_2020_106764 crossref_primary_10_1007_s12652_020_02350_y crossref_primary_10_1016_j_cogr_2021_08_002 crossref_primary_10_1016_j_cogr_2021_08_001 crossref_primary_10_1016_j_compeleceng_2021_107337 crossref_primary_10_1016_j_jvcir_2020_102844 crossref_primary_10_1016_j_compeleceng_2022_107977 crossref_primary_10_1007_s12652_020_02274_7 crossref_primary_10_1016_j_compeleceng_2022_107730 crossref_primary_10_1007_s11280_021_00991_3 crossref_primary_10_1016_j_apacoust_2021_108325 crossref_primary_10_1016_j_compeleceng_2022_108261 crossref_primary_10_1007_s11042_018_7080_4 crossref_primary_10_1007_s11042_018_5864_1 crossref_primary_10_1007_s11042_018_7109_8 crossref_primary_10_1007_s11036_018_1122_z crossref_primary_10_1109_TAI_2023_3249683 crossref_primary_10_3390_e23030274 crossref_primary_10_1002_cpe_5273 crossref_primary_10_1109_TAI_2022_3153593 crossref_primary_10_1109_ACCESS_2023_3238366 crossref_primary_10_1109_ACCESS_2019_2962823 crossref_primary_10_3390_app13158701 crossref_primary_10_1109_ACCESS_2019_2908991 crossref_primary_10_1016_j_compeleceng_2022_108494 crossref_primary_10_3390_electronics12081773 crossref_primary_10_3389_fenrg_2023_1283394 crossref_primary_10_3390_e26050383 crossref_primary_10_1155_2021_8013337 crossref_primary_10_1016_j_asoc_2022_109960 crossref_primary_10_1016_j_isatra_2023_09_020 crossref_primary_10_1109_ACCESS_2019_2944386 crossref_primary_10_1007_s11036_018_1117_9 crossref_primary_10_1007_s10796_020_10031_6 crossref_primary_10_1007_s11042_019_08579_w crossref_primary_10_1016_j_compeleceng_2021_107556 crossref_primary_10_1016_j_compeleceng_2021_107677 crossref_primary_10_1016_j_compeleceng_2021_107317 crossref_primary_10_1007_s12652_021_03420_5 crossref_primary_10_1109_TCYB_2022_3213526 crossref_primary_10_1007_s11036_018_1120_1 crossref_primary_10_1016_j_displa_2022_102359 crossref_primary_10_1177_09544097221110322 crossref_primary_10_3390_electronics10010014 crossref_primary_10_1002_cpe_5745 crossref_primary_10_1007_s11042_018_7092_0 crossref_primary_10_1016_j_pmcj_2022_101736 crossref_primary_10_1109_ACCESS_2019_2923116 crossref_primary_10_1134_S105466181903012X crossref_primary_10_3390_ai4040047 crossref_primary_10_3390_s20051452 crossref_primary_10_1007_s11042_020_08798_6 crossref_primary_10_1016_j_engappai_2023_106476 crossref_primary_10_1109_ACCESS_2019_2932749 crossref_primary_10_1016_j_compeleceng_2022_107866 crossref_primary_10_1016_j_ssci_2023_106363 crossref_primary_10_1016_j_compeleceng_2021_107206 crossref_primary_10_1016_j_compeleceng_2022_107747 crossref_primary_10_1016_j_jvcir_2020_102811 crossref_primary_10_1109_ACCESS_2020_3044945 crossref_primary_10_1016_j_compeleceng_2022_108032 crossref_primary_10_1016_j_procs_2023_10_033 crossref_primary_10_1016_j_compeleceng_2021_107321 crossref_primary_10_1109_ACCESS_2022_3152206 crossref_primary_10_1016_j_compeleceng_2022_108270 crossref_primary_10_1109_ACCESS_2019_2909742 crossref_primary_10_1002_cpe_5120 crossref_primary_10_1080_03088839_2020_1756494 crossref_primary_10_2478_ijanmc_2022_0038 crossref_primary_10_1007_s11276_019_02130_3 crossref_primary_10_1007_s11036_020_01717_x crossref_primary_10_3136_fstr_25_647 crossref_primary_10_1007_s11036_019_01377_6 crossref_primary_10_1007_s12652_021_03553_7 crossref_primary_10_1016_j_ifacol_2020_12_226 crossref_primary_10_1016_j_compeleceng_2021_107135 crossref_primary_10_1109_JIOT_2023_3268316 crossref_primary_10_1109_ACCESS_2019_2929800 crossref_primary_10_1109_TITS_2022_3165156 crossref_primary_10_1016_j_iot_2020_100218 crossref_primary_10_1002_cpe_5476 crossref_primary_10_1007_s11633_020_1247_y crossref_primary_10_1016_j_compeleceng_2021_107026 crossref_primary_10_1016_j_engappai_2023_107300 crossref_primary_10_1145_3331146 crossref_primary_10_1016_j_compeleceng_2021_107027 crossref_primary_10_1007_s11042_018_6436_0 crossref_primary_10_1016_j_compeleceng_2021_107140 crossref_primary_10_1016_j_compeleceng_2021_107261 crossref_primary_10_1016_j_compeleceng_2022_108179 crossref_primary_10_1109_TNSE_2020_2993457 crossref_primary_10_1109_ACCESS_2019_2945034 crossref_primary_10_3233_JIFS_189707 crossref_primary_10_1007_s11036_020_01718_w crossref_primary_10_1016_j_compeleceng_2022_107679 crossref_primary_10_1109_TITS_2021_3094553 crossref_primary_10_1145_3458930 crossref_primary_10_1007_s11036_019_01378_5 crossref_primary_10_1109_ACCESS_2017_2751586 crossref_primary_10_1016_j_compeleceng_2021_107595 crossref_primary_10_1016_j_optlastec_2018_05_049 crossref_primary_10_1109_ACCESS_2019_2928976 crossref_primary_10_1016_j_asoc_2022_109795 crossref_primary_10_1007_s12652_020_02677_6 crossref_primary_10_1016_j_cogr_2022_01_002 crossref_primary_10_1016_j_compeleceng_2020_106655 crossref_primary_10_3390_fi14070205 crossref_primary_10_1016_j_compeleceng_2020_106773 crossref_primary_10_1145_3450520 crossref_primary_10_1007_s11276_019_02201_5 crossref_primary_10_1016_j_compeleceng_2021_107006 crossref_primary_10_1016_j_compeleceng_2021_107008 crossref_primary_10_1049_iet_ipr_2019_1606 crossref_primary_10_1016_j_compeleceng_2022_108078 crossref_primary_10_1016_j_compeleceng_2019_106456 crossref_primary_10_1016_j_compeleceng_2021_107000 crossref_primary_10_1016_j_compeleceng_2021_107002 crossref_primary_10_1016_j_compeleceng_2021_107366 crossref_primary_10_1016_j_compeleceng_2020_106771 crossref_primary_10_1002_cpe_5934 crossref_primary_10_1016_j_asoc_2019_105623 crossref_primary_10_3390_app13074140 crossref_primary_10_1007_s11042_019_7343_8 crossref_primary_10_3390_app11125320 crossref_primary_10_1007_s11042_019_08346_x crossref_primary_10_1016_j_micpro_2022_104501 crossref_primary_10_1109_JIOT_2018_2877504 crossref_primary_10_1007_s11042_019_7656_7 crossref_primary_10_1007_s11042_017_5332_3 crossref_primary_10_1016_j_compeleceng_2021_107173 crossref_primary_10_1016_j_sysarc_2023_102870 crossref_primary_10_1016_j_future_2019_05_007 crossref_primary_10_1016_j_compeleceng_2019_106466 crossref_primary_10_1016_j_compeleceng_2019_106463 crossref_primary_10_1016_j_compeleceng_2019_106465 crossref_primary_10_1002_ett_3646 crossref_primary_10_1109_ACCESS_2019_2927786 crossref_primary_10_1007_s11036_017_0936_4 crossref_primary_10_1007_s11277_022_09929_y crossref_primary_10_1016_j_cosrev_2024_100636 crossref_primary_10_1109_ACCESS_2019_2918700 crossref_primary_10_1109_JSEN_2023_3297205 crossref_primary_10_1007_s00500_019_03834_6 crossref_primary_10_1080_21642583_2020_1848659 crossref_primary_10_1155_2020_9520384 crossref_primary_10_1155_2020_8822777 crossref_primary_10_1016_j_compeleceng_2021_107067 crossref_primary_10_1016_j_compeleceng_2022_107685 crossref_primary_10_1016_j_compeleceng_2019_106473 crossref_primary_10_1016_j_asoc_2022_109684 crossref_primary_10_1016_j_compeleceng_2022_108093 crossref_primary_10_3390_s22239135 crossref_primary_10_1002_cpe_5584 crossref_primary_10_1002_cpe_5585 crossref_primary_10_1080_10589759_2023_2206655 crossref_primary_10_1007_s11042_019_7344_7 crossref_primary_10_1002_cpe_5583 crossref_primary_10_1007_s11036_020_01719_9 crossref_primary_10_1109_JIOT_2020_3016694 crossref_primary_10_1016_j_compeleceng_2021_107038 crossref_primary_10_1007_s11042_018_6694_x crossref_primary_10_1007_s11042_019_08551_8 crossref_primary_10_1016_j_jiixd_2023_12_001 crossref_primary_10_1016_j_compeleceng_2021_107153 crossref_primary_10_1016_j_compeleceng_2021_107156 crossref_primary_10_1088_1742_6596_2526_1_012088 crossref_primary_10_1016_j_compeleceng_2023_109010 crossref_primary_10_1016_j_rico_2024_100401 crossref_primary_10_1002_cpe_5694 crossref_primary_10_1007_s13042_022_01552_4 crossref_primary_10_1109_JSEN_2020_2968477 crossref_primary_10_1016_j_cogr_2024_01_001 crossref_primary_10_1109_ACCESS_2019_2936493 crossref_primary_10_1016_j_compeleceng_2021_106993 crossref_primary_10_1109_ACCESS_2019_2911890 crossref_primary_10_1109_ACCESS_2023_3255511 crossref_primary_10_1007_s11042_018_6897_1 crossref_primary_10_1016_j_compeleceng_2021_107041 crossref_primary_10_1109_TITS_2022_3182568 crossref_primary_10_1016_j_compeleceng_2022_108312 crossref_primary_10_1016_j_cogr_2021_07_002 crossref_primary_10_1007_s11042_018_6522_3 crossref_primary_10_1016_j_aei_2023_102041 crossref_primary_10_3390_app112110297 crossref_primary_10_1109_ACCESS_2019_2940876 crossref_primary_10_1016_j_compeleceng_2019_106494 crossref_primary_10_1007_s11042_020_08771_3 crossref_primary_10_1016_j_jestch_2024_101702 crossref_primary_10_1109_OJCOMS_2021_3075201 crossref_primary_10_1016_j_compeleceng_2021_107416 crossref_primary_10_1109_ACCESS_2019_2916332 crossref_primary_10_1007_s11042_023_14985_y crossref_primary_10_1109_ACCESS_2019_2906082 crossref_primary_10_1155_2020_8816228 crossref_primary_10_2139_ssrn_4005925 crossref_primary_10_3390_machines9090197 crossref_primary_10_1007_s12652_020_02821_2 crossref_primary_10_1109_JIOT_2020_3036695 crossref_primary_10_1007_s11036_017_0934_6 crossref_primary_10_1016_j_asoc_2020_106528 crossref_primary_10_1109_ACCESS_2019_2921912 crossref_primary_10_1016_j_compeleceng_2021_107422 crossref_primary_10_1016_j_compeleceng_2021_107423 crossref_primary_10_1109_ACCESS_2019_2953768 crossref_primary_10_1109_JIOT_2019_2930656 crossref_primary_10_1007_s11042_019_7647_8 crossref_primary_10_1109_ACCESS_2019_2919711 crossref_primary_10_1016_j_asoc_2022_109481 crossref_primary_10_1109_JIOT_2020_3000771 crossref_primary_10_1016_j_compeleceng_2022_108454 crossref_primary_10_1002_cpe_5514 crossref_primary_10_3390_app9152961 crossref_primary_10_1007_s11276_019_02217_x crossref_primary_10_1002_rob_22157 crossref_primary_10_1016_j_compeleceng_2019_06_019 crossref_primary_10_1155_2022_5113725 crossref_primary_10_1016_j_cogr_2022_03_001 crossref_primary_10_1007_s12652_021_03002_5 crossref_primary_10_1007_s12652_021_03255_0 crossref_primary_10_1007_s11042_019_07856_y crossref_primary_10_1007_s11036_019_01374_9 crossref_primary_10_1109_JSTARS_2024_3403228 crossref_primary_10_1016_j_compeleceng_2021_107070 crossref_primary_10_1016_j_compeleceng_2021_107192 crossref_primary_10_1109_TITS_2021_3076607 crossref_primary_10_1007_s11042_020_09071_6 crossref_primary_10_1016_j_ijcip_2022_100516 crossref_primary_10_1016_j_cogr_2021_06_004 crossref_primary_10_1007_s13319_018_0196_5 crossref_primary_10_1007_s11042_019_08580_3 crossref_primary_10_1109_ACCESS_2019_2960817 crossref_primary_10_1016_j_compeleceng_2021_107402 crossref_primary_10_1016_j_compeleceng_2022_108237 crossref_primary_10_1088_1361_6501_ab1ef0 crossref_primary_10_1016_j_compeleceng_2019_06_021 crossref_primary_10_1016_j_compeleceng_2021_107406 crossref_primary_10_1109_OJVT_2023_3316181 crossref_primary_10_1109_ACCESS_2019_2914727 crossref_primary_10_1016_j_asoc_2020_106197 crossref_primary_10_1109_ACCESS_2019_2925059 crossref_primary_10_1016_j_iot_2022_100568 crossref_primary_10_1109_TIM_2019_2935576 |
Cites_doi | 10.1093/brain/awv329 10.3390/bdcc1010001 10.1007/s11036-015-0665-5 10.1109/MCOM.2017.1600410CM 10.1002/cpe.3927 10.1109/JIOT.2016.2571718 10.1016/j.compeleceng.2016.08.008 10.1109/JIOT.2016.2619679 10.1002/tee.21928 10.1109/ACCESS.2017.2694446 |
ContentType | Journal Article |
Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 |
Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 |
DBID | 97E RIA RIE AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D |
DOI | 10.1109/JIOT.2017.2737479 |
DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005-present IEEE All-Society Periodicals Package (ASPP) 1998-Present IEEE Electronic Library (IEL) CrossRef Computer and Information Systems Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
DatabaseTitle | CrossRef Computer and Information Systems Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Advanced Technologies Database with Aerospace ProQuest Computer Science Collection Computer and Information Systems Abstracts Professional |
DatabaseTitleList | Computer and Information Systems Abstracts |
Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Computer Science |
EISSN | 2327-4662 |
EndPage | 2322 |
ExternalDocumentID | 10_1109_JIOT_2017_2737479 8004441 |
Genre | orig-research |
GrantInformation_xml | – fundername: Research Fund of State Key Laboratory of Ocean Engineering in Shanghai Jiaotong University grantid: 1510 – fundername: Ministry of Education, Culture, Sports, Science and Technology grantid: 16809746 funderid: 10.13039/501100001700 – fundername: Telecommunications Advancement Foundation funderid: 10.13039/501100009427 – fundername: Kyushu Institute of Technology funderid: 10.13039/501100007780 – fundername: Tongji University grantid: MGK1608 funderid: 10.13039/501100004204 – fundername: Japan Society for the Promotion of Science grantid: 17K14694 funderid: 10.13039/501100001691 |
GroupedDBID | 0R~ 4.4 6IK 97E AAJGR AASAJ ABQJQ ABVLG AKJIK ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ EBS EJD IFIPE IPLJI JAVBF M43 OCL PQQKQ RIA RIE RIG AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D |
ID | FETCH-LOGICAL-c407t-796af7a9ac396a0aec43cfdf130f0da5b8d9895b5dbd3b641ff4479038c496033 |
IEDL.DBID | RIE |
ISSN | 2327-4662 |
IngestDate | Fri Sep 13 05:08:53 EDT 2024 Fri Aug 23 03:58:43 EDT 2024 Wed Jun 26 19:28:16 EDT 2024 |
IsPeerReviewed | false |
IsScholarly | true |
Issue | 4 |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c407t-796af7a9ac396a0aec43cfdf130f0da5b8d9895b5dbd3b641ff4479038c496033 |
ORCID | 0000-0001-9794-3221 |
PQID | 2117131317 |
PQPubID | 2040421 |
PageCount | 8 |
ParticipantIDs | ieee_primary_8004441 crossref_primary_10_1109_JIOT_2017_2737479 proquest_journals_2117131317 |
PublicationCentury | 2000 |
PublicationDate | 2018-08-01 |
PublicationDateYYYYMMDD | 2018-08-01 |
PublicationDate_xml | – month: 08 year: 2018 text: 2018-08-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | Piscataway |
PublicationPlace_xml | – name: Piscataway |
PublicationTitle | IEEE internet of things journal |
PublicationTitleAbbrev | JIoT |
PublicationYear | 2018 |
Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
References | ref12 ref14 ref11 chen (ref13) 2016; 21 (ref1) 2016 sutton (ref15) 2016 ref17 ref16 ref18 ref7 ref9 (ref3) 2017 ref6 (ref2) 1999 (ref4) 2017 yuuto (ref5) 2017 (ref8) 2017 lu (ref10) 2017; 29 |
References_xml | – ident: ref16 doi: 10.1093/brain/awv329 – ident: ref12 doi: 10.3390/bdcc1010001 – volume: 21 start-page: 729 year: 2016 ident: ref13 article-title: Software-defined mobile networks security publication-title: Mobile Netw Appl doi: 10.1007/s11036-015-0665-5 contributor: fullname: chen – year: 2016 ident: ref1 publication-title: Started Providing IoT Solution to Detect Abnormality From Working Sound – year: 1999 ident: ref2 publication-title: K-1 Motor Abnormal Temperature Detection System-Infrared Thermography – ident: ref14 doi: 10.1109/MCOM.2017.1600410CM – ident: ref7 doi: 10.1002/cpe.3927 – year: 2017 ident: ref5 publication-title: Detection and Deterioration Diagn0 313osis of Electrical Equipment Based on Current Waveform Pattern Analysis contributor: fullname: yuuto – volume: 29 start-page: 611 year: 2017 ident: ref10 article-title: Highly accurate energy-conserving flexible touch sensors publication-title: Sensors Mater contributor: fullname: lu – ident: ref17 doi: 10.1109/JIOT.2016.2571718 – ident: ref6 doi: 10.1016/j.compeleceng.2016.08.008 – ident: ref18 doi: 10.1109/JIOT.2016.2619679 – year: 2017 ident: ref8 publication-title: Raspberry Pi Setting – year: 2017 ident: ref3 publication-title: Metal Feather Fan Sensor – year: 2016 ident: ref15 publication-title: Reinforcement Learning contributor: fullname: sutton – ident: ref9 doi: 10.1002/tee.21928 – ident: ref11 doi: 10.1109/ACCESS.2017.2694446 – year: 2017 ident: ref4 publication-title: Design Life of Motor-Technical Data |
SSID | ssj0001105196 |
Score | 2.6260304 |
Snippet | Unmanned aerial vehicles (UAVs) are used in many fields including weather observation, farming, infrastructure inspection, and monitoring of disaster areas.... |
SourceID | proquest crossref ieee |
SourceType | Aggregation Database Publisher |
StartPage | 2315 |
SubjectTerms | Anomalies Anomaly detection DC motors Drones Inspection Learning (artificial intelligence) Military technology Monitoring Motors reinforcement learning Temperature Temperature measurement temperature sensor Temperature sensors unmanned aerial vehicle (UAV) Unmanned aerial vehicles |
Title | Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning |
URI | https://ieeexplore.ieee.org/document/8004441 https://www.proquest.com/docview/2117131317/abstract/ |
Volume | 5 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV09T8MwELVKJxa-CqJQkAcmRNI0cRx7rICqVCoI1KJuke3YIEFTBOkAv56zkxTxMaAsHpLIujv77tnPzwidxMoIKyPiZYxRj5hAeiLWxgsFDRNhgkQ4Lb3xNR1OyWgWzxrobHUWRmvtyGfat023l58t1NIulXWZUzcDrLPGgrA8q_W1ntKzxQitNi57Ae-Orm4mlruV-JCioWrm31KPu0vl1wTssspgE43r_pRkkid_WUhfffyQavxvh7fQRlVe4n4ZD9uoofMdtFlf3YCrkdxCt-MFgG0M4H8unt_xhS4cJSvHUMPiaT4XdvrFfRee-F4_OvIcdvwCfKed2qpyC4u4Emh92EXTweXkfOhVtyt4CkBc4SWcCpMILlQErUBoRSJlMgNJzQSZiCXLOOOxjDOZRZKSnjEEjBhETBGAPVG0h5r5Itf7CPOelkSzMGPCEAMILlRQVimiOEsIpbyNTmvDpy-liEbqwEfAU-ul1HoprbzURi1ryNWLlQ3bqFO7Kq2G2VsK6BVANjzJwd9fHaJ1-DcrGXsd1Cxel_oIqohCHrvw-QQYO8XF |
link.rule.ids | 315,786,790,802,27957,27958,55109 |
linkProvider | IEEE |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV09T8MwED2hMsBCgYIoFPDAhEibJk5ij4gPtdAWgVrULXIcGyRoiiAd4NdzdtIiPgaUxVIcxbqzfffs52eAo0BqYWREnJSx0KHaTRwRKO14IvQiod1IWC29_iDsjOjVOBgvwcniLIxSypLPVNMU7V5-OpUzs1TWYlbdDLHOMsZ5lxentb5WVNomHQnLrUt837rq3gwNeytqYpDGvJl_Cz72NpVfU7CNK5dV6M9bVNBJnpqzPGnKjx9ijf9t8jqslQkmOS16xAYsqWwTqvPLG0g5lmtw258i3CYI_yfi-Z2cq9ySsjKCWSwZZRNhJmByajsouVePlj5HLMOA3Cmrtyrt0iIpJVoftmB0eTE86zjl_QqORBiXOxEPhY4EF9LHkiuUpL7Uqcawpt1UBAlLOeNBEqRJ6ichbWtN0YiuzyRF4OP721DJppnaAcLbKqGKeSkTmmrEcJ7ExEpSyVlEw5DX4Xhu-PilkNGILfxweWy8FBsvxaWX6lAzhlxULG1Yh8bcVXE50N5ixK8Is_GJdv_-6hBWOsN-L-51B9d7sIr_YQV_rwGV_HWm9jGnyJMD25U-AbLwyRs |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Motor+Anomaly+Detection+for+Unmanned+Aerial+Vehicles+Using+Reinforcement+Learning&rft.jtitle=IEEE+internet+of+things+journal&rft.au=Lu%2C+Huimin&rft.au=Li%2C+Yujie&rft.au=Mu%2C+Shenglin&rft.au=Wang%2C+Dong&rft.date=2018-08-01&rft.pub=The+Institute+of+Electrical+and+Electronics+Engineers%2C+Inc.+%28IEEE%29&rft.eissn=2327-4662&rft.volume=5&rft.issue=4&rft.spage=2315&rft_id=info:doi/10.1109%2FJIOT.2017.2737479&rft.externalDBID=NO_FULL_TEXT |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2327-4662&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2327-4662&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2327-4662&client=summon |