Research Article
A Model of Intelligent Fault Diagnosis of Power Equipment Based on CBR
Table 7
Comparison of diagnosis results.
| Field | Data 1 | Data 2 | Data 3 | Data 4 | Data 5 |
| H2 | 36 | 1651 | 97 | 42 | 132.9 | CH4 | 30 | 90 | 405 | 62 | 20.38 | C2H6 | 10 | 33 | 590 | 5 | 8.09 | C2H4 | 93 | 45 | 583 | 63 | 0.63 | C2H2 | 7.1 | 2 | 34 | 73 | 0.16 | TOTLE | 140.1 | 170 | 1612 | 203 | 29.26 | C2H2/C2H4 | 0.0763 | 0.0444 | 0.0583 | 1.1587 | 0.2540 | C2H4/H2 | 2.5833 | 0.0272 | 6.0103 | 1.5 | 0.0047 | C2H4/C2H6 | 9.3 | 1.3636 | 0.9881 | 12.6 | 0.0779 | Voltage/kV | 240 | 232 | 238 | 225 | 236 | Temp/°C | 80.5 | 62.0 | 95.5 | 70.0 | 55.0 | Coded | 0 2 2 | 0 1 2 | 0 1 1 | 1 2 2 | 1 1 0 | Judgments by TRM | | | Error | | | Fingerprint | 5.85 | 6.2 | 4.2 | 2.1 | 0.6 | Judgments by IFDCBR | | | | | | Truths | | | | | |
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