Automated Author ProfileOkoli, Chinweike
Okoli, Chinweike
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data presents the utilization of a practical radial distribution system of EEDC database in order to relate maintenance costs to the resulting levels of supply reliability. In order to determine an optimal and reliable level of customer service, reliability cost/worth is to be assessed by calculating the costs associated with different maintenance level and assessing the corresponding reliability worth at the respective system load. In the proposed model, the limits of the indices, such as SAIDI and SAIFI, are considered as constraints of the maintenance programs. The RCM method has used the power interruption statistical data in analyzing the reliability indices of the distribution system points.
Authors
- Okoli, Chinweike
This data presents the utilization of a practical radial distribution system of EEDC database in order to relate maintenance costs to the resulting levels of supply reliability. In order to determine an optimal and reliable level of customer service, reliability cost/worth is to be assessed by calculating the costs associated with different maintenance level and assessing the corresponding reliability worth at the respective system load. In the proposed model, the limits of the indices, such as SAIDI and SAIFI, are considered as constraints of the maintenance programs. The RCM method has used the power interruption statistical data in analyzing the reliability indices of the distribution system points.
Authors
- Okoli, Chinweike