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Data-Driven Strategies for Engineering Design and Diagnostics

2023
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Release : 2023
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Kind : eBook
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Book Synopsis Data-Driven Strategies for Engineering Design and Diagnostics by : Susheel Dharmadhikari

Download or read book Data-Driven Strategies for Engineering Design and Diagnostics written by Susheel Dharmadhikari. This book was released on 2023. Available in PDF, EPUB and Kindle. Book excerpt: The dissertation explores data-driven methods for design and diagnostics, specifically in the areas of fatigue crack detection and pin fin design optimization. In terms of diagnostics, detecting fatigue damage is crucial for structural health monitoring, but it can be challenging to identify the emergence of fatigue-induced cracks during operation. This dissertation investigates fatigue damage detection using a novel imaging setup and two types of sensors, viz., ultrasonics and force-displacement. The study achieves successful damage detection with over 95% accuracy by applying deep neural networks. Additionally, the study explores the use of transfer and mixed-learning frameworks that can adapt a pre-trained deep neural network to different specimens with varying notch geometries. With the help of force-displacement sensor data and a random forests-based classifier, it is shown that fatigue damage can also be reliably identified with global information. Regarding data-driven design, the dissertation addresses the problem of pin-fin design, which has been the focus of consistent research in the past. With the emergence of additive manufacturing technologies, the design problem has expanded to include complex geometries for improved heat transfer and reduced pressure drop. The dissertation applies Gaussian processes-based surrogate models and Bayesian optimization to design new concepts for pin-fins. To facilitate a larger design space exploration, an automated simulation framework is developed, which integrates Python, MATLAB, and ANSYS into a single software for iterative simulations. The study also includes global and local sensitivity analyses to understand the impact of design features on the objective.

Data-Driven Technology for Engineering Systems Health Management

2016-07-27 Technology & Engineering
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Release : 2016-07-27
Genre : Technology & Engineering
Kind : eBook
Book Rating : 329/5 ( reviews)

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Book Synopsis Data-Driven Technology for Engineering Systems Health Management by : Gang Niu

Download or read book Data-Driven Technology for Engineering Systems Health Management written by Gang Niu. This book was released on 2016-07-27. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.

Data-Driven Engineering Design

2021-10-09 Technology & Engineering
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Release : 2021-10-09
Genre : Technology & Engineering
Kind : eBook
Book Rating : 814/5 ( reviews)

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Book Synopsis Data-Driven Engineering Design by : Ang Liu

Download or read book Data-Driven Engineering Design written by Ang Liu. This book was released on 2021-10-09. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design. Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth. In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation. Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design.

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems

2014-04-12 Technology & Engineering
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Release : 2014-04-12
Genre : Technology & Engineering
Kind : eBook
Book Rating : 105/5 ( reviews)

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Book Synopsis Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems by : Steven X. Ding

Download or read book Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems written by Steven X. Ding. This book was released on 2014-04-12. Available in PDF, EPUB and Kindle. Book excerpt: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background.

Data-Driven Design of Fault Diagnosis Systems

2014-04-22 Technology & Engineering
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Release : 2014-04-22
Genre : Technology & Engineering
Kind : eBook
Book Rating : 072/5 ( reviews)

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Book Synopsis Data-Driven Design of Fault Diagnosis Systems by : Adel Haghani Abandan Sari

Download or read book Data-Driven Design of Fault Diagnosis Systems written by Adel Haghani Abandan Sari. This book was released on 2014-04-22. Available in PDF, EPUB and Kindle. Book excerpt: In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study efficient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, different methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements.

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