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1. |
Record Nr. |
UNINA9910155092303321 |
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Autore |
Swan Dane <1984-> |
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Titolo |
Dane Swan : my story / / Dane Swan ; with Martin Blake |
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Pubbl/distr/stampa |
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Richmond, Victoria : , : Hardie Grant Books, , 2016 |
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©2016 |
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ISBN |
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Descrizione fisica |
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1 online resource (312 pages, 16 unnumbered pages of plates) : illustrations |
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Disciplina |
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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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Sommario/riassunto |
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Dane Swan is a Brownlow medallist, three-time Copeland Trophy winner, premiership player and five-time All Australian. The road to success has been an impressive journey for this AFL player. A laid-back knockabout who loves a party. Swan is the son of VFA legend Billy Swan and grew up in Broadmeadows, also where Eddie McGuire famously comes from. Both have gone on to climb to the top of their professions and both are at Collingwood. Swan was number 58 pick in the National draft of 2001 and even after four seasons had made little impression at Collingwood. But with the aid of fellow players and coach Mike Malthouse, his natural ability developed and by 2009 he was an All-Australian and people were starting to pay attention to the mid-fielder. In 2010 he was a surprised third in the Brownlow and Leigh Matthews Trophy winner, Jim Stynes medallist, Lou Richards medallist, All-Australian and AFLCA Champion player of the Year. In 2011 the Brownlow went to Dane Swan. An old-style footballer, Swan works hard and plays hard. He is one of the AFL's most prolific ball winners and has since become recognised as one of the greatest midfielders of the modern era. In his autobiography, Dane Swan talks about the highs and lows of his AFL career so far. |
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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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Defects |
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 |
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Proposing a Novel Spectral RMS x Kurtosis for Effective Bearing Fault 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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