Progress Report on Reliability of Electronic Equipment PDF Download
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Author: United States. Department of Defense. Research and Development Board. Ad Hoc Group on Reliability of Electronic Equipment
Publisher:
ISBN:
Category : Electronics
Languages : en
Pages : 144
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Book Description
Author: United States. Department of Defense. Research and Development Board. Ad Hoc Group on Reliability of Electronic Equipment
Publisher:
ISBN:
Category : Electronics
Languages : en
Pages : 144
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Book Description
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 1036
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Book Description
Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 168
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Author: Oregon. State University, Corvallis. Engineering Experiment Station
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 208
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Author:
Publisher:
ISBN:
Category : Reliability (Engineering)
Languages : en
Pages : 556
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Book Description
Author: Defense Documentation Center (U.S.)
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 1032
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Author:
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 682
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Author: Rui Kang
Publisher: Springer Nature
ISBN: 9811608237
Category : Technology & Engineering
Languages : en
Pages : 187
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Book Description
This book, from the perspective of reliability science construction, proposes a new theory called BELIEF RELIABILITY theory on the basis of probability theory, uncertainty theory and chance theory. The main topics include the philosophical basis of reliability science, the principles of reliability science, the criteria of reasonable reliability metrics and the basic theoretical framework and methodology of belief reliability theory. In this book, the belief reliability metric, analysis, design and evaluation methods will provide readers with a brand-new perspective on reliability applications and uncertainty quantification.
Author: Kenichi Kanatani
Publisher: Courier Corporation
ISBN: 0486443086
Category : Mathematics
Languages : en
Pages : 548
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Book Description
This text for graduate students discusses the mathematical foundations of statistical inference for building three-dimensional models from image and sensor data that contain noise--a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. The numerous mathematical prerequisites for developing the theories are explained systematically in separate chapters. These methods range from linear algebra, optimization, and geometry to a detailed statistical theory of geometric patterns, fitting estimates, and model selection. In addition, examples drawn from both synthetic and real data demonstrate the insufficiencies of conventional procedures and the improvements in accuracy that result from the use of optimal methods.
Author: Federal Electric Corporation. Equipment and Systems Evaluation Department
Publisher:
ISBN:
Category : Electronic apparatus and appliances
Languages : en
Pages : 818
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Book Description
