LEADER 04575nam 2200601Ia 450 001 9910813229103321 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. The Analysis of Bearing Signals Collected from Bearings with Outer Race and Inner Race Defects ""; ""4.9. Experimental Analysis with Computer Generated Noise Simulation "" 327 $a""Section 5. Experiments on Industrial Machines "" 410 0$aEngineering Tools, Techniques and Tables 606 $aDefects 606 $aFault location (Engineering) 615 0$aDefects. 615 0$aFault location (Engineering) 676 $a620/.0044 701 $aSimon$b Lea M$01618527 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910813229103321 996 $aFault detection$93950296 997 $aUNINA