| dc.contributor.author |
Mishra, Rajesh P |
|
| dc.date.accessioned |
2023-09-25T09:14:58Z |
|
| dc.date.available |
2023-09-25T09:14:58Z |
|
| dc.date.issued |
2014-01 |
|
| dc.identifier.uri |
https://link.springer.com/chapter/10.1007/978-981-4560-61-0_48 |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/12066 |
|
| dc.description.abstract |
Reliability Growth is a modeling process for product quality characterization over the lifespan for both hardware and software products and has been explained by multiple models like Duane, Crow-AMSAA, Lloyd Lipow etc. Our research proposes a framework for case-based/scenario based model estimation and prediction, by supervised learning of historical data. In this proposed framework, the case base is generated from historical data and Crow Model is applied in a novel sense to extract information from the historically labeled occurrences. With our framework, we draw in a comparative advantage over the traditional predictive modeling using a Crow’s Growth Model. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Springer |
en_US |
| dc.subject |
Mechanical Engineering |
en_US |
| dc.subject |
Non-Homogeneous Poisson Process (NHPP) |
en_US |
| dc.subject |
Case |
en_US |
| dc.subject |
Independant poisson processes |
en_US |
| dc.title |
Classification Based Reliability Growth Prediction on Data Generated by Multiple Independent Processes |
en_US |
| dc.type |
Article |
en_US |