Template:Failure modes configurations: Difference between revisions

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===Failure Modes Configurations===
#REDIRECT [[Competing Failure Modes Analysis]]
 
 
'''Series Configuration'''
 
The basic competing failure modes configuration, which has already been discussed, is a series configuration. In a series configuration, the occurrence of any failure mode results in failure for the product.
 
[[Image:WB.18 series configuration.png|center|400px| ]]
 
The equation that describes series configuration is:
 
::<math>R(t)={{R}_{1}}(t)\cdot {{R}_{2}}(t)\cdot ...\cdot {{R}_{n}}(t)</math>
 
where  <math>n</math>  is the total number of failure modes considered.
 
 
'''Parallel'''
 
In a simple parallel configuration, at least one of the failure modes must not occur for the product to continue operation.
 
<math></math>
[[Image:WB.18 parallel.png|center|300px| ]]
 
The equation that describes parallel configuration is:
 
::<math>R(t)=1-\underset{i=1}{\overset{n}{\mathop \prod }}\,(1-{{R}_{i}}(t))</math>
 
where  <math>n</math>  is the total number of failure modes considered.
 
 
'''Combination of Series and Parallel'''
 
While many smaller products can be accurately represented by either a simple series or parallel configuration, there may be larger products that involve both series and parallel configurations in the overall model of the product. Such products can be analyzed by calculating the reliabilities for the individual series and parallel sections and then combining them in the appropriate manner. 
 
[[Image:WB.18 series parallel.png|center|400px| ]]
<math></math>
 
 
'''k-out-of-n Parallel Configuration='''
 
The k-out-of-n configuration is a special case of parallel redundancy. This type of configuration requires that at least  <math>k</math>  failure modes do not happen out of the total  <math>n</math>  parallel failure modes for the product to succeed.
The simplest case of a k-out-of-n configuration is when the failure modes are independent and identical and have the same failure distribution and uncertainties about the parameters (in other words they are derived from the same test data). In this case, the reliability of the product with such a configuration can be evaluated using the binomial distribution, or:
 
 
::<math>R(t)=\overset{n}{\mathop{\underset{r=k}{\mathop{\underset{}{\overset{}{\mathop \sum }}\,}}\,}}\,\left( \underset{k}{\mathop{\overset{n}{\mathop{{}}}\,}}\, \right){{R}^{r}}(t){{(1-R(t))}^{n-r}}</math>
 
In the case where the k-out-of-n failure modes are not identical, other approaches for calculating the reliability must be used (e.g. the event space method). Discussion of these is beyond the scope of this reference. Interested readers can consult [http://reliawiki.com/index.php/Life_Data_Analysis_Reference ReliaSoft's System Reliability Reference].
 
 
'''Complex Systems'''
 
In many cases, it is not easy to recognize which components are in series and which are in parallel in a complex system.
 
[[Image:WB.18 complex systems.png|center|400px| ]]
 
The previous configuration cannot be broken down into a group of series and parallel configurations. This is primarily due to the fact that failure mode C has two paths leading away from it, whereas B and D have only one. Several methods exist for obtaining the reliability of a complex configuration including the decomposition method, the event space method and the path-tracing method. Discussion of these is beyond the scope of this reference. Interested readers can consult [http://reliawiki.com/index.php/Life_Data_Analysis_Reference ReliaSoft's System Reliability Reference].
 
'''Example 2:'''
{{Example: Competing Failures with Complex Configuration Example}}

Latest revision as of 07:38, 29 June 2012

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