The paper presents a fault-tolerant digital system design and development strategy for high reliability hardware architectures implementation. Starting from the general consideration that digital hardware systems play a key role in a large scale of control systems implementation, a triple modular redundancy (TMR) solution it is proposed for development. For this reason, the well-known 1 bit majority voter configuration has been extended and generalized to the full control bus of a digital control system. Computer simulations show that the proposed hardware solution fulfills in all the theoretical expectations and it can be used for experimental tests and implementation. The presented design solution and conclusions are well suited to generalization for a wide range of fault-tolerant digital systems development ranging from reliable and safety servo control applications up to high reliability parallel and distributed computing hardware architectures.
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International Review of Applied Sciences and Engineering
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| 2021 | |
|---|---|
| Web of Science | |
| Total Cites WoS |
not indexed |
| Journal Impact Factor | not indexed |
| Rank by Impact Factor |
not indexed |
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not indexed |
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not indexed |
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not indexed |
Scimago |
| Scimago H-index |
7 |
| Scimago Journal Rank |
0,199 |
| Scimago Quartile Score | Engineering (miscellaneous) (Q3) Environmental Engineering (Q4) Information Systems (Q4) Management Science and Operations Research (Q4) Materials Science (miscellaneous) (Q4) |
| Scopus | |
| Scopus Cite Score |
1,2 |
| Scopus CIte Score Rank |
Architecture 48/149 (Q2) General Engineering 186/300 (Q3) Materials Science (miscellaneous) 79/124 (Q3) Environmental Engineering 118/173 (Q3) Management Science and Operations Research 141/184 (Q4) Information Systems 274/353 (Q4) |
| Scopus SNIP |
0,457 |
| 2020 | |
|---|---|
| Scimago H-index |
5 |
| Scimago Journal Rank |
0,165 |
| Scimago Quartile Score |
Engineering (miscellaneous) Q3 Environmental Engineering Q4 Information Systems Q4 Management Science and Operations Research Q4 Materials Science (miscellaneous) Q4 |
| Scopus Cite Score |
102/116=0,9 |
| Scopus Cite Score Rank |
General Engineering 205/297 (Q3) Environmental Engineering 107/146 (Q3) Information Systems 269/329 (Q4) Management Science and Operations Research 139/166 (Q4) Materials Science (miscellaneous) 64/98 (Q3) |
| Scopus SNIP |
0,26 |
| Scopus Cites |
57 |
| Scopus Documents |
36 |
| Days from submission to acceptance | 84 |
| Days from acceptance to publication | 348 |
| Acceptance Rate |
23% |
| 2019 | |
|---|---|
| Scimago H-index |
4 |
| Scimago Journal Rank |
0,229 |
| Scimago Quartile Score |
Engineering (miscellaneous) Q2 Environmental Engineering Q3 Information Systems Q3 Management Science and Operations Research Q4 Materials Science (miscellaneous) Q3 |
| Scopus Cite Score |
46/81=0,6 |
| Scopus Cite Score Rank |
General Engineering 227/299 (Q4) Environmental Engineering 107/132 (Q4) Information Systems 259/300 (Q4) Management Science and Operations Research 136/161 (Q4) Materials Science (miscellaneous) 60/86 (Q3) |
| Scopus SNIP |
0,866 |
| Scopus Cites |
35 |
| Scopus Documents |
47 |
| Acceptance Rate |
21% |
| International Review of Applied Sciences and Engineering | |
|---|---|
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| International Review of Applied Sciences and Engineering | |
|---|---|
| Language | English |
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2010 |
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