Name
Title | ||
|---|---|---|
Using Polynomial Smoothing And Data Bounding For The Detection Of Nuclear Material Diversions And Losses |
Abstract | ||
|---|---|---|
Successive nuclear material balances form a time series of often autocorrelated observations. Significiant deviations from the underlying in-control process model or time series pattern, i.e., outliers, indicate an adverse process change or out-of-control situation relative to the model. This paper uses these ideas to demonstrate a method for detecting nuclear material losses earlier than currently used models and thus helps to alleviate a problem which is growing to world crisis proportions, The process control capabilities of these methods were successfully tested on two autocorrelated data sets of nuclear material balances with known removals. These algorithms should be of assistance to the nuclear engineer involved in process control. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1021/ci00025a012 | JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES |
Field | DocType | Volume |
Combinatorics,Nuclear material,Polynomial smoothing,Mathematics,Bounding overwatch | Journal | 35 |
Issue | ISSN | Citations |
3 | 0095-2338 | 3 |
PageRank | References | Authors |
0.99 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul R. Sebastian | 1 | 9 | 3.48 |
| David E. Booth | 2 | 109 | 21.34 |
| Michael Y. Hu | 3 | 426 | 55.74 |