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1. |
Record Nr. |
UNISANNIOBVEE078754 |
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Autore |
Daniel, Gabriel <1649-1728> |
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Titolo |
3. lettre au R.P. Alexandre, touchant le parallele de la morale des Thomistes avec la morale des Jesuites sur la probabilité. 1697 |
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Pubbl/distr/stampa |
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Descrizione fisica |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Opera di Gabriel Daniel. Cfr. Backer-Sommervogel, v. 2 col. 1801 |
Tit. dall'intit |
Data del testo |
Segn.: A¹². |
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2. |
Record Nr. |
UNINA9910972622703321 |
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Titolo |
Fault detection : theory, methods and systems / / Lea M. Simon, editor |
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Pubbl/distr/stampa |
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New York, : Nova Science Publishers, c2011 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (316 p.) |
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Collana |
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Engineering tools, techniques and tables |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Fault location (Engineering) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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""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 "" |
""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 "" |
""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 |
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Detection ""; ""2.7.5. Spectral RMS x Kurtosis "" |
""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 "" |
""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 "" |
""Section 5. Experiments on Industrial Machines "" |
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Sommario/riassunto |
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Reviews research in the field of fault detection including the introduction of an automatic, effective but simpler-to-use system for fault diagnosis in bearings; the monitoring and diagnosis of discrete event systems using time petri nets; and, fault detection and diagnosis using statistical and soft computing methods. |
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