Key technologies of intelligentized welding manufacturing : welding arc acoustic sensing and monitoring technology /: welding arc acoustic sensing and monitoring technology. (2020)

• Record Type: Book
• Further Information: Note: Na Lv, Shanben Chen.
• Other Names: Lv, Na; Chen, Shanben
• Contents: Intro -- Acknowledgements -- Contents -- 1 Multi-source Information of Arc Welding Dynamic Process -- 1.1 Introduction -- 1.2 Acoustic Signal of Welding Dynamic Process -- 1.3 Classification of Welding Acoustic Signal -- 1.4 Feature and Application Value of Arc Sound Signal -- 1.5 Influencing Factor of Arc Sound Signal -- 1.6 Microphone Array Measurement of Arc Sound -- 2 Acoustic Mechanism and Arc Sound Source Modeling for GTAW Welding -- 2.1 Basic Arc Sound Source Model -- 2.1.1 Weld Pool Oscillation Model of Arc Sound -- 2.1.2 Analysis and Validation of Sound Source for GTAW 2.1.3 Influence of Welding Parameters on Arc Sound Signal During Dynamic Welding -- 3 Feature Extraction and Analysis of Arc Sound Signal with Dynamic Welding Process -- 3.1 Welding Operation System Setup -- 3.2 Arc Sound Signal Preprocessing Method -- 3.2.1 Removal of DC Component -- 3.2.2 Noise-Removal Process -- 3.2.3 Region of Interest (ROI) Selected -- 3.2.4 Window Function Addition -- 3.2.5 Analysis of Arc Sound Signal in Short Time Domain -- 3.2.6 Frequency-Domain Analysis of Arc Sound Signal -- 3.2.7 Time-Frequency Analysis of Arc Sound Signal 3.2.8 Relationship Between Sound Feature and Penetration of Weld Pool -- 4 Channel Generation Mechanism and Modeling for Arc Sound Signal During GTAW -- 4.1 Generation Mechanism of Arc Sound Channel -- 4.2 Arc Sound Channel Modeling Based on Cepstrum Coefficient -- 4.2.1 A Mathematical Model Based on Cepstrum Analysis -- 4.2.2 Cepstrum Coefficients Model of the Arc Sound Signal -- 4.3 Arc Sound Channel Modeling Based on Linear Predictive Analysis -- 5 Prediction Model Establishment Based on Arc Sound Feature Array -- 5.1 Welding Penetration Recognition Analysis Using Arc Sound Signal 5.2 Prediction Model Using BPAdaBoost Neural Network for GATW Welding -- 5.3 Classification Model Using Hidden Markov Model -- 5.3.1 Wavelet Analysis -- 5.3.2 Modeling Based on Hidden Markov Model -- 5.3.3 Comparing with Traditional Model -- 6 Relationship Modeling Between Weld Pool Collapse and Welding Penetration Based on Analyzing Arc Sound Features -- 6.1 Welding Experimental Design and Arc Sound Signal Collection -- 6.2 Processing of Arc Sound Signal for Weld Pool Collapse -- 6.2.1 De-DC Component Processing -- 6.2.2 Denoising 6.3 Accuracy Verification Test for Prediction Model Based on Arc Sound Feature -- 6.3.1 The Piecewise Linear Fitting for Arc Length -- 6.3.2 Validation of Arc Length Prediction Model -- 6.4 Prediction Experiment of Welding Pool Collapse -- 7 Real-Time Control of Welding Penetration via Arc Sound Signal for GTAW Welding -- 7.1 Design of Real-Time Processing Software for Arc Sound Signal During GTAW Welding -- 7.2 Arc Height Tracking Control Experiment via Arc Sound Signal of GTAW Welding -- 7.3 Welding Penetration Control Experiment via Arc Sound Signal of GTAW Welding
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Extent: 1 online resource (129 pages)
• Subjects: 671.5/2; Welding; Welding industry; Welding; Welding industry; Electronic books
• Languages: English
• ISBNs: 9789811520020
• Related ISBNs: 981152002X; 9789811520013; 9811520011
• Notes: Note: Includes bibliographical references.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.