Research Article
Wear Identification of Vibration Drilling Bit Based on Improved LMD and BP Neural Network
Table 5
Comparison of recognition results.
| Number | Tool wear condition | Actual output (three signal fusion) | Actual output (force signal) | Actual output (AE signal) | Actual output (vibration signal) |
| 1 | Intial | [0.9461 0.0126 0.0109] | [0.9054 0.0011 0.0114] | [0.9920 0.0335 0.0046] | [0.9756 0.0012 0.0193] | 2 | Initial | [0.9233 0.0052 0.0351] | [0.9745 0.0301 0.0143] | [0.9455 0.0195 0.0211] | [0.9533 0.0127 0.0279] | 3 | Initial | [0.9665 0.0271 0.0264] | [0.8910 0.0241 0.0108] | [0.8961 0.0359 0.0152] | [0.9873 0.0299 0.0075] | 4 | Initial | [0.9834 0.0074 0.0142] | [0.9471 0.0099 0.0241] | [0.9945 0.0217 0.0046] | [0.9681 0.0018 0.0179] | 5 | Initial | [0.9533 0.0341 0.0326] | [0.9466 0.0150 0.0223] | [0.9586 0.0310 0.0272] | [0.9550 0.0026 0.0501] | 6 | Initial | [0.8703 0.0052 0.0115] | [0.0161 0.9403 0.0544] | [0.9985 0.0803 0.0139] | [0.9383 0.0118 0.0043] | 7 | Initial | [0.9115 0.0271 0.0184] | [0.9722 0.0183 0.0124] | [0.8268 0.0331 0.0054] | [0.8754 0.0074 0.0211] | 8 | Initial | [0.9734 0.0062 0.0121] | [0.9101 0.0138 0.0079] | [0.9677 0.0356 0.0038] | [0.9314 0.0138 0.0088] | 9 | Normal | [0.0193 0.9601 0.0009] | [0.0319 0.9155 0.0032] | [0.0025 0.9291 0.0166] | [0.0323 0.9051 0.0429] | 10 | Normal | [0.0553 0.9305 0.0017] | [0.0166 0.9775 0.0207] | [0.8696 0.0372 0.0081] | [0.0037 0.9457 0.0009] | 11 | Normal | [0.0613 0.8201 0.0126] | [0.0960 0.0531 0.9138] | [0.0033 0.9435 0.0355] | [0.0316 0.0071 0.8788] | 12 | Normal | [0.0159 0.8776 0.0284] | [0.0088 0.9236 0.0431] | [0.0188 0.0623 0.8195] | [0.0091 0.9239 0.0131] | 13 | Normal | [0.0229 0.0080 0.9502] | [0.0154 0.0122 0.8070] | [0.0009 0.9472 0.0305] | [0.0142 0.8605 0.0072] | 14 | Normal | [0.0041 0.9917 0.0153] | [0.0073 0.9109 0.0251] | [0.0100 0.8939 0.0482] | [0.0026 0.0174 0.9523] | 15 | Normal | [0.0331 0.8074 0.0192] | [0.0192 0.9233 0.0095] | [0.0226 0.9752 0.0351] | [0.0135 0.9802 0.0402] | 16 | Normal | [0.0220 0.9455 0.0107] | [0.0360 0.9520 0.0142 | [0.0042 0.9110 0.0025 | [0.0560 0.9785 0.0311] | 17 | Severe | [0.0186 0.0233 0.9420] | [0.0102 0.0172 0.9611] | [0.0611 0.0009 0.9818] | [0.0031 0.0576 0.9008] | 18 | Severe | [0.0315 0.0203 0.8591] | [0.0360 0.0283 0.9838] | [0.0223 0.0349 0.8841] | [0.0510 0.0448 0.9177] | 19 | Severe | [0.0140 0.0113 0.9302] | [0.0109 0.0086 0.9779] | [0.0075 0.0570 0.9308] | [0.0195 0.0473 0.9220] | 20 | Severe | [0.0500 0.0396 0.9729] | [0.0077 0.0428 0.9601] | [0.0197 0.0411 0.9195] | [0.0080 0.0166 0.8753] | 21 | Severe | [0.0107 0.0133 0.8017] | [0.0145 0.0167 0.9810] | [0.0083 0.0049 0.9001] | [0.0311 0.0150 0.9741] | 22 | Severe | [0.0371 0.0091 0.9152] | [0.0013 0.0085 0.9077] | [0.0073 0.0530 0.8795] | [0.0241 0.0318 0.9109 | 23 | Severe | [0.0960 0.0531 0.9138] | [0.0161 0.9403 0.0544] | [0.0106 0.0331 0.9544] | [0.0622 0.0373 0.9625] | 24 | Severe | [0.0357 0.0581 0.7940] | [0.0209 0.0101 0.9632] | [0.0096 0.0088 0.9417] | [0.0420 0.0307 0.9600] |
|
|