Paper Titles
Brushless DC Motor Controller Design and Double-Loop PID Parameter Tuning
p.621
The Design of a New Small Simple 6-Axis Robot Arm
p.626
Analysis of Steering Control Strategy on Tractor's Hydraulic Steering By-Wire System
p.630
Design and MATLAB Simulation of a Composite PID Controller for EPS Test-Benches
p.635
On Inspection Strategy Based on Sample Inspection Reliability
p.639
A Novel Parallel Decoupled Tri-Axis Force Sensor
p.643
Data Collection and Quality Assessment System for Flight Simulator
p.649
Solar Underwater Glider Robot of Viscous Hydrodynamic Numerical Calculation
p.653
The Development and Application of Expert System about Metal Cutting Burr Based on Neural Network
p.659

On Inspection Strategy Based on Sample Inspection Reliability

Article Preview

Abstract:

As we all known, for a certain product, inspection reliability for the product can be considered and calculated by a famous reliability index as POD (Probability of Detection). While, for a batch of product, Stat. character should be added into POD because one-by-one inspection always is not economic, and POD without any consideration of Stat. character is not used directly for inspection reliability of a batch of product. So, inspection reliability for a batch of products can be considered and divided into reliability of inspecting objective (could be defined as POD) and reliability induced by sample inspection (Rs). In this present paper, inspection strategy based on sample inspection reliability is considered, together with some factors influent to Rs is analyzed such as sample size, producer risk and consumer risk, acceptable quality level (AQL), rejectable quality level (RQL).

You might also be interested in these eBooks
Mechanical Structures and Smart Materials View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 487)

Pages:

639-642

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.487.639

Citation:

Cite this paper

Online since:

January 2014

Authors:

Wei Guo Shen*, Xin Tong Zhao, Jun Wei Han

Keywords:

Consumer, Inspection Reliability, Producer, Risk, Sample Size

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] J.J. Xiong, R.A. Shenoi, A durability model incorporating safe life methodology and damage tolerance approach to assess first inspection and maintenance period for structures, Reliability Engineering and System Safety, 94 (2009), 1251-1258.

DOI: 10.1016/j.ress.2009.01.005

Google Scholar

[2] Kara A. Latorella, Prasad V. Prabhu, A review of human error in aviation maintenance and inspection, International Journal of Industrial Ergonomics, 26 (2000), 133-161.

DOI: 10.1016/s0169-8141(99)00063-3

Google Scholar

[3] O. Cronvall, K. Simola, I. Mannisto, J. Gunnars, L. Alverlend, P. Dillstrom, L. Gandossi, A study on the effect of flaw detection probalbility assumptions on risk reduction achieved by non-destructive inspection, Reliability Engineering and System Safety, 105 (2012).

DOI: 10.1016/j.ress.2012.03.012

Google Scholar

[4] Mehmet Simsir, Alpay Ankara, Comparison of two non-destructive inspection techniques on the basis of sensitivity and reliability, Materials and Design, 28 (2007), 1433-1439.

DOI: 10.1016/j.matdes.2006.03.019

Google Scholar

[5] S.G. Hellevik, I. Langen, J.D. Sorensen, Cost optimal reliability based inspecton and replacement planning of piping subjected ot CO2 corrosion, Internaltional Journal of Pressure Vessels and Piping, 76 (1999), 527-538.

DOI: 10.1016/s0308-0161(99)00028-9

Google Scholar

[6] Sansli Senol, Measurement system analysis using designed experiments with minimum α-β risks and n, Measurement, 36 (2004), 131-141.

DOI: 10.1016/j.measurement.2004.05.001

Google Scholar