Human Error Prediction in ATM via Cognitive Simulation: Preliminary Study (PSAM-0268)

2006 ◽  
pp. 399-407
Keyword(s):  
Human Error ◽  
Error Prediction ◽  
Cognitive Simulation ◽  
Preliminary Study

scholarly journals Feasibility of detecting orthopaedic screw overtightening using acoustic emission

2017 ◽  
Vol 231 (3) ◽  
pp. 213-221 ◽  
Author(s):  
Rhys Pullin ◽  
Bryan J Wright ◽  
Richard Kapur ◽  
John P McCrory ◽  
Matthew Pearson ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Human Error ◽  
Current Practice ◽  
State Of The Art ◽  
Screw Fixation ◽  
Measuring Devices ◽  
Current State ◽  
Emission Activity ◽  
Hip Screw ◽  
Preliminary Study

A preliminary study of acoustic emission during orthopaedic screw fixation was performed using polyurethane foam as the bone-simulating material. Three sets of screws, a dynamic hip screw, a small fragment screw and a large fragment screw, were investigated, monitoring acoustic-emission activity during the screw tightening. In some specimens, screws were deliberately overtightened in order to investigate the feasibility of detecting the stripping torque in advance. One set of data was supported by load cell measurements to directly measure the axial load through the screw. Data showed that acoustic emission can give good indications of impending screw stripping; such indications are not available to the surgeon at the current state of the art using traditional torque measuring devices, and current practice relies on the surgeon’s experience alone. The results suggest that acoustic emission may have the potential to prevent screw overtightening and bone tissue damage, eliminating one of the commonest sources of human error in such scenarios.

Simulator-Based Investigations of Human Error Potential with Railroad Automation in the Locomotive Cab

2017 ◽  
Vol 61 (1) ◽  
pp. 1964-1968
Author(s):  
Angelia Sebok ◽  
Brett Walters ◽  
Christopher Wickens
Keyword(s):  
System Performance ◽  
Human Error ◽  
Operator Error ◽  
Safety Protection ◽  
Rail Industry ◽  
Preliminary Study ◽  
Error Potential

Automation is being developed and implemented in a variety of industries with the goals of improving overall system performance and reducing the probability and impact of human or operator error. However, as automation is introduced, it changes the role of the operator and creates new opportunities for different and unanticipated types of errors. In the rail industry, automated safety protection and optimization systems are being introduced into the locomotive cab. This paper describes a simulator-based investigation of human-automation interaction in the locomotive cab. Three scenarios were conducted in a dynamic and realistic rail simulator with three professional locomotive engineers. This preliminary study identified three distinct errors related to failing to appropriately monitor automation, and suggested potential opportunities for design improvements.

Preliminary Study of Human Factor Reliability in Hydropower Station

2011 ◽  
Vol 422 ◽  
pp. 803-806
Author(s):  
Dan Dan Li ◽  
Lei Li
Keyword(s):  
Risk Analysis ◽  
Human Error ◽  
Human Factor ◽  
Direct Method ◽  
Risk Theory ◽  
Hydropower Station ◽  
Engineering Practice ◽  
Human Reliability ◽  
Reliability Method ◽  
Preliminary Study

Now human error has caused lots of accidents of hydropower station home and abroad, but there is no direct method to calculate the probability of human error in accidents of hydropower station. So the paper invite the suggestion of introducing the human reliability into hydropower station risk analysis, which can perfect the hydropower station risk theory. It used improved HCR(Human Cognitive Reliability) method to calculate human reliability of hydropower station , but the concrete parameters need further research combined with engineering practice.

Sign in / Sign up

Export Citation Format

Share Document