LEADER 01089nam--2200373---450- 001 990001877400203316 005 20050620095845.0 035 $a000187740 035 $aUSA01000187740 035 $a(ALEPH)000187740USA01 035 $a000187740 100 $a20040727d1979----km-y0itay0103----ba 101 0 $aspa 102 $aES 105 $a||||||||001yy 200 1 $aDidactica de la lengua y la literatura$fJosé Romera Castillo 210 $aMadrid$cEditorial Playor$d1979 215 $a280 p.$d20 cm 410 0$12001 454 1$12001 461 1$1001-------$12001 606 0 $aLingua spagnola$xDidattica$xMetodi 606 0 $aLetteratura spagnola$xDidattica$xMetodi 676 $a460.7 700 1$aROMERA CASTILLO,$bJosé$0387076 801 0$aIT$bsalbc$gISBD 912 $a990001877400203316 951 $aII.4. 467(II Sp B 4 28)$b18944 L.M.$cII Sp B 4 959 $aBK 969 $aUMA 979 $aSIAV6$b10$c20040727$lUSA01$h1040 979 $aCOPAT6$b90$c20050620$lUSA01$h0958 996 $aDidactica de la lengua y la literatura$9955203 997 $aUNISA LEADER 04608nam 2200613Ia 450 001 9910461363603321 005 20200520144314.0 010 $a1-61728-441-6 035 $a(CKB)2670000000176023 035 $a(EBL)3018104 035 $a(SSID)ssj0000689072 035 $a(PQKBManifestationID)12257420 035 $a(PQKBTitleCode)TC0000689072 035 $a(PQKBWorkID)10632089 035 $a(PQKB)10508137 035 $a(MiAaPQ)EBC3018104 035 $a(Au-PeEL)EBL3018104 035 $a(CaPaEBR)ebr10659026 035 $a(OCoLC)923655040 035 $a(EXLCZ)992670000000176023 100 $a20100429d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aFault detection$b[electronic resource] $etheory, methods and systems /$fLea M. Simon, editor 210 $aNew York $cNova Science Publishers$dc2011 215 $a1 online resource (316 p.) 225 0 $aEngineering tools, techniques and tables 300 $aDescription based upon print version of record. 311 $a1-61728-291-X 320 $aIncludes bibliographical references and index. 327 $a""FAULT DETECTION: THEORY, METHODS AND SYSTEMS ""; ""FAULT DETECTION: THEORY, METHODS AND SYSTEMS""; ""CONTENTS ""; ""PREFACE ""; ""ADVANCED SYSTEM FOR AUTOMATICALLY DETECTING FAULTS OCCURRING IN BEARINGS ""; ""Abstract ""; ""Section 1. Introduction ""; ""1.1. The Background of Machinery Fault Detection ""; ""1.2. The Motivation to Develop an Automatic System for Detecting Bearing Faults ""; ""1.3. The Review of the Maintenance Approaches ""; ""1.3.1. The Run-to-Breakdown Approach ""; ""1.3.2. The Time-Based Preventive Maintenance Approach "" 327 $a""1.3.3. The Condition-Based Maintenance Approach """"1.3.4. The Advantages for Adopting the Conditional-based Maintenance Approach ""; ""Section 2. The Review of the Machinery Fault Detection Methodology ""; ""2.1. Transducer Used for Measuring Vibration Signal ""; ""2.2. Vibration Measurement ""; ""2.3. Vibration Trend ""; ""2.4. The Introduction of Fast Fourier Transform (FFT) ""; ""2.4.1. The Principal of Fast Fourier Transform ""; ""2.4.2. The Limitations of the Existing FFT ""; ""2.5. The Introduction of Wavelet Transform ""; ""2.5.1. The Principal of Wavelet Transform "" 327 $a""2.5.2. The Limitations of Existing Wavelet Transform """"2.6. The Introduction of the Reassignment Wavelet Transform ""; ""2.6.1. The Principal of Reassignment ""; ""2.6.2. The Definition of Reassignment Wavelet Transform ""; ""2.7. The Use of the Higher Order Statistics in Machinery Fault Detection ""; ""2.7.1. Kurtosis ""; ""2.7.2. Spectral Kurtosis ""; ""2.7.3. Root Mean Square ""; ""2.7.4. The Rationale of Proposing a Novel Spectral RMS x Kurtosis for Effective Bearing Fault Detection ""; ""2.7.5. Spectral RMS x Kurtosis "" 327 $a""2.8. The Evolution of Reassignment Wavelet Based Spectrum RMS X Kurtosis """"Section 3. The Design of the Virtual Based Automatic Fault Detection System ""; ""3.1. Development of a Single Tasked Data Acquisition Program ""; ""3.2. Implementation of the Reassignment Wavelet Analysis ""; ""3.3. Screen Flow Design and Functionality ""; ""3.4. Time Domain Analysis ""; ""3.5. Data Storage and Extraction ""; ""3.6. The Layout of the Hardware Configuration ""; ""Section 4. Experiment on Laboratory Machinery Fault Simulator ""; ""4.1. The Bearing Fault Demonstrator "" 327 $a""4.2. The Rolling Element Bearings """"4.3. Artificially Induced Bearing Defects ""; ""4.4. A Comparison Study of Conventional Wavelet and Reassignment Wavelet ""; ""4.5. Bearing Fault Detection by Using RMS and Kurtosis ""; ""4.6. Detection of a Normal Condition Signal and Motor Signature ""; ""4.7. The Analysis of the Bearing Signal Collected from a Bearing with a Ball Defect ""; ""4.8. 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