Rolling Bearing Fault Diagnosis Based on MFDFA-SPS and ELM

<div>The distribution range of feature <svg height="8.8423pt" id="M271" style="vertical-align:-0.2064009pt" version="1.1" viewbox="-0.0498162 -8.6359 15.8756 8.8423" width="15.8756pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M600 0V24L339 665L311 657L43 24V0H600ZM497 50H107L303 539L497 50Z"></path></g><g transform="matrix(.013,0,0,-0.013,8.327,0)"><path d="M545 106L524 126C493 85 467 65 455 65C438 65 427 113 405 238C448 295 498 362 543 439L533 448L478 435C453 386 423 331 398 295H395C370 404 347 448 282 448C169 448 23 309 23 153C23 54 65 -12 128 -12C203 -12 283 70 339 155H341C360 29 380 -12 411 -12C444 -12 491 11 545 106ZM333 204C265 95 210 54 169 54C137 54 113 96 113 171C113 302 191 405 252 405C301 405 318 306 333 204Z"></path></g></svg> calculated by MFDFA-1.</div>

Mathematical Problems in Engineering

Rolling Bearing Fault Diagnosis Based on MFDFA-SPS and ELM

Figure 12