Measuring human detection performance in aircraft visual inspection

被引:0
作者
Drury, CG
Spencer, FW
Schurman, DL
机构
来源
PROCEEDINGS OF THE HUMAN FACTORS AND ERGONOMICS SOCIETY 41ST ANNUAL MEETING, 1997, VOLS 1 AND 2 | 1997年
关键词
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In airworthiness assurance, while there is a long tradition of measuring inspection reliability for machine-aided Non-Destructive Inspection (NDI), the more common visual inspection has received little attention. Yet inspection reliability measurements are needed if we are to set appropriate inspection intervals for airframe components. Visual inspection of aircraft is characterized as using multiple senses (despite its name) and having to inspect for multiple fault types, in contrast to NDI which is used for single specific fault types. The study here used 12 professional inspectors to perform nine visual inspection tasks on a long-service Boeing 737 aircraft. Each inspector worked over two days. Measures were taken of performance, strategy and individual differences. Only a fraction of the results are presented here, with a major finding that aircraft visual inspection has approximately the same reliability as industrial inspection. Individual differences were found, as well as correlations between certain aspects of performance and individual characteristics such as Field Independence and Peripheral Visual Acuity. However, there was little correlation between an individual inspector's performance on the different tasks, showing the difficulty of designing selection and placement procedures for such a wide-ranging job.
引用
收藏
页码:304 / 308
页数:5
相关论文
共 50 条
  • [41] Image understanding algorithms for remote visual inspection of aircraft surfaces.
    Gunatilake, P
    Siegel, MW
    Jordan, AJ
    Podnar, G
    MACHINE VISION APPLICATIONS IN INDUSTRIAL INSPECTION V, 1997, 3029 : 2 - 13
  • [42] Detection and Visual Inspection of Highly Obfuscated Plagiarisms
    Schmidt, Andreas
    Buhler, Soren
    Senger, Robert
    Scholz, Steffen
    Dickerhof, Markus
    PROCEEDINGS OF THE 49TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS 2016), 2016, : 4113 - 4122
  • [43] VISUAL DETECTION OF COMMENCEMENT OF AIRCRAFT TAKEOFF RUNS
    COLE, BL
    JOHNSTON, AW
    GIBSON, AJ
    JACOBS, RJ
    AVIATION SPACE AND ENVIRONMENTAL MEDICINE, 1978, 49 (02): : 395 - 405
  • [44] Automated Crack Detection for Digital Radiography Aircraft Wing Inspection
    Wang, Xin
    Wong, B. Stephen
    Tan, ChingSeong
    Tui, Chen Guan
    RESEARCH IN NONDESTRUCTIVE EVALUATION, 2011, 22 (02) : 105 - 127
  • [45] Automated defect detection for ultrasonic inspection of CFRP aircraft components
    Seguin-Charbonneau, Loic
    Walter, Julien
    Theroux, Louis-Daniel
    Scheed, Laurent
    Beausoleil, Alexandre
    Masson, Benoit
    NDT & E INTERNATIONAL, 2021, 122
  • [46] CONTAMINANT DETECTION IN THE VISUAL INSPECTION OF SEED SAMPLES
    AITKEN, CGG
    SHAW, J
    TALBOT, M
    APPLIED STATISTICS-JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C, 1995, 44 (04): : 431 - 440
  • [47] PERFORMANCE EFFECTS OF VARIABLES IN DYNAMIC VISUAL INSPECTION
    RIZZI, AM
    BUCK, JR
    ANDERSON, VL
    AIIE TRANSACTIONS, 1979, 11 (04): : 278 - 285
  • [48] Noise, feedback training, and visual inspection performance
    Gramopadhye, AK
    Wilson, K
    INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 1997, 20 (03) : 223 - 230
  • [49] High performance computing for industrial visual inspection
    Kamel, M
    Padilha, J
    MACHINE VISION AND APPLICATIONS, 2000, 12 (04) : 157 - 157
  • [50] A MODEL FOR VISUAL TARGET DETECTION FROM AIRCRAFT
    MASON, FD
    OPERATIONS RESEARCH, 1966, S 14 : B204 - &