Abstract
In safety engineering there are occasions where a reading indicates that the result over the limit. For example if a measurement result is 5.51V, and the limit is 5.50V. Is such a reading outside the limit? Does a safety problem exist? The answer is not a simple yes or no. A number of considerations need to be made, for example how critical is this measurement for product safety? In other words is there a safety risk? To answer such a question we need to understand the effect of tolerances. This includes the tolerance of the measuring instrument used, and of the circuit being tested. First measurement errors are briefly reviewed, followed by a brief discussion of the statistical significance. Then statistical techniques and risk management are used to determine if the reading is out of tolerance and what is the likelihood of a safety issue. This may seem an 'overkill', but we consistently hear about consumer goods catching fire. One cell phone is banned by all airlines as the chances that it will catch fire is considered too high to put passengers' lives at risk. Safety engineering does not make adequate use of statistical analysis to understand and prevent unsafe conditions.
| Original language | English |
|---|---|
| Title of host publication | ISPCE 2017 - 2017 IEEE Symposium on Product Compliance Engineering, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509052486 |
| DOIs | |
| Publication status | Published - 2017 May 26 |
| Event | 14th Annual IEEE Symposium on Product Compliance Engineering, ISPCE 2017 - San Jose, United States Duration: 2017 May 8 → 2017 May 10 |
Other
| Other | 14th Annual IEEE Symposium on Product Compliance Engineering, ISPCE 2017 |
|---|---|
| Country | United States |
| City | San Jose |
| Period | 17/5/8 → 17/5/10 |
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Keywords
- Measurement errors
- Monte Carlo Analysis
- measurement uncertainty
- process capability
- risk assessment
- safety critical
- statistical analysis
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Electrical and Electronic Engineering
Cite this
What does it mean when your measurement is just within, or just outside of limits? Dealing with risks due to measurement errors and their implication on safety. / Mozar, Stefan; Kao, Wen-Chung.
ISPCE 2017 - 2017 IEEE Symposium on Product Compliance Engineering, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7935017.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - What does it mean when your measurement is just within, or just outside of limits?
T2 - Dealing with risks due to measurement errors and their implication on safety
AU - Mozar, Stefan
AU - Kao, Wen-Chung
PY - 2017/5/26
Y1 - 2017/5/26
N2 - In safety engineering there are occasions where a reading indicates that the result over the limit. For example if a measurement result is 5.51V, and the limit is 5.50V. Is such a reading outside the limit? Does a safety problem exist? The answer is not a simple yes or no. A number of considerations need to be made, for example how critical is this measurement for product safety? In other words is there a safety risk? To answer such a question we need to understand the effect of tolerances. This includes the tolerance of the measuring instrument used, and of the circuit being tested. First measurement errors are briefly reviewed, followed by a brief discussion of the statistical significance. Then statistical techniques and risk management are used to determine if the reading is out of tolerance and what is the likelihood of a safety issue. This may seem an 'overkill', but we consistently hear about consumer goods catching fire. One cell phone is banned by all airlines as the chances that it will catch fire is considered too high to put passengers' lives at risk. Safety engineering does not make adequate use of statistical analysis to understand and prevent unsafe conditions.
AB - In safety engineering there are occasions where a reading indicates that the result over the limit. For example if a measurement result is 5.51V, and the limit is 5.50V. Is such a reading outside the limit? Does a safety problem exist? The answer is not a simple yes or no. A number of considerations need to be made, for example how critical is this measurement for product safety? In other words is there a safety risk? To answer such a question we need to understand the effect of tolerances. This includes the tolerance of the measuring instrument used, and of the circuit being tested. First measurement errors are briefly reviewed, followed by a brief discussion of the statistical significance. Then statistical techniques and risk management are used to determine if the reading is out of tolerance and what is the likelihood of a safety issue. This may seem an 'overkill', but we consistently hear about consumer goods catching fire. One cell phone is banned by all airlines as the chances that it will catch fire is considered too high to put passengers' lives at risk. Safety engineering does not make adequate use of statistical analysis to understand and prevent unsafe conditions.
KW - Measurement errors
KW - Monte Carlo Analysis
KW - measurement uncertainty
KW - process capability
KW - risk assessment
KW - safety critical
KW - statistical analysis
UR - http://www.scopus.com/inward/record.url?scp=85021780637&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021780637&partnerID=8YFLogxK
U2 - 10.1109/ISPCE.2017.7935017
DO - 10.1109/ISPCE.2017.7935017
M3 - Conference contribution
AN - SCOPUS:85021780637
BT - ISPCE 2017 - 2017 IEEE Symposium on Product Compliance Engineering, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -