Name
Title | ||
|---|---|---|
PHM experimental design for effective state separation using Jensen–Shannon divergence |
Abstract | ||
|---|---|---|
•The PHM experimental design using the Jensen–Shannon divergence is proposed.•The proposed method helps to select sensor locations that effectively separates the states of the system.•Greedy algorithms and the Gaussian process are adopted for effective calculation of the JS divergence. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ress.2019.106503 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Condition diagnosis,Information-theoretic method,Jensen–Shannon divergence | Data processing,Divergence,Joint probability distribution,Jensen–Shannon divergence,Algorithm,Univariate distribution,Greedy algorithm,Gaussian process,Engineering,Statistics,Computation | Journal |
Volume | ISSN | Citations |
190 | 0951-8320 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tae-jin Kim | 1 | 111 | 21.38 |
| Gueseok Lee | 2 | 0 | 0.34 |
| Byeng D. Youn | 3 | 4 | 1.76 |