1、IEEE Recommended Practice for Signal Treatment Applied to Smart TransducersIEEE Std 21451-001-2017IEEE Industrial Electronics SocietySponsored by theIndustrial Electronics Society Standards CommitteeIEEE Instrumentation and Measurement SocietySponsored by theSensor Technology Committeeand theSignals
2、 and Systems in Measurement CommitteeIEEE3 Park AvenueNew York, NY 10016-5997USAIEEE Std 21451-001-2017 IEEE Recommended Practice for Signal Treatment Applied to Smart Transducers Sponsors Industrial Electronics Society Standards Committee of the IEEE Industrial Electronics Society and Sensor Techno
3、logy Committee and Signals and Systems in Measurement Committee of the IEEE Instrumentation and Measurement Society Approved 23 March 2017 IEEE-SA Standards Board 2 Copyright 2017 IEEE. All rights reserved. Abstract: Signal processing algorithms and data structure are defined in this recommended pra
4、ctice in order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on the signal and transducers attached to the system. This recommended practice also defines a set of transducer signal treatment services based on signal treatment a
5、lgorithms as application programming interface (API), which is used for applications to use or call these transducer signal treatment services. Keywords: IEEE 1451, IEEE 21451, oversampling, segmentation, serial, signal shape analysis, smart actuator, smart filtering, smart sensor, smart transducer,
6、 time-domain signal analysis The Institute of Electrical and Electronics Engineers, Inc. 3 Park Avenue, New York, NY 10016-5997, USA Copyright 2017 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved. Published 20 December 2017. Printed in the United States of America.
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35、he validity of any patent rights, and the risk of infringement of such rights, is entirely their own responsibility. Further information may be obtained from the IEEE Standards Association. 6 Copyright 2017 IEEE. All rights reserved. Participants At the time this recommended practice was completed,
36、the Signal Treatment for Smart Transducer Working Group had the following membership: Gustavo Monte, Chair Ruqiang Yan, Vice Chair Francesco Abate Allen Chen Antonio Espirito Santo Sabrina Guia Rodica Holonec Victor Huang Kang Lee Zheng Liu Vincenzo Paciello Antonio Pietrosanto Helena Ramos Eugene S
37、ong Hubert Zangl The following members of the individual balloting committee voted on this recommended practice. Balloters may have voted for approval, disapproval, or abstention. Mihaela Albu Frank Basciano William Bloethe Riccardo Brama Dietmar Bruckner Paul Cardinal Cheng-Jen Chen Keith Chow Hele
38、na Maria Geirinhas Ramos Randall Groves Werner Hoelzl Rodica Holonec Victor Huang Atsushi Ito Robert Johnson Kenneth Karg John Kay Kang Lee Michael Maytum Tremont Miao Gustavo Monte Arthur Neubauer Michael Newman Vincenzo Paciello Sergio Rapuano Robert Robinson Bartien Sayogo Christopher Searles Rob
39、ert Seitz Suresh Shrimavle Jeremy Smith Yuyin Song Joseph Stanco Thomas Strasser John Vergis Stephen Webb Ruqiang Yan Oren Yuen When the IEEE-SA Standards Board approved this recommended practice on 23 March 2017, it had the following membership: Jean-Philippe Faure, Chair Gary Hoffman, Vice Chair J
40、ohn D. Kulick, Past Chair Konstantinos Karachalios, Secretary Chuck Adams Masayuki Ariyoshi Ted Burse Stephen Dukes Doug Edwards J. Travis Griffith Michael Janezic Thomas Koshy Joseph L. Koepfinger* Kevin Lu Daleep Mohla Damir Novosel Ronald C. Petersen Annette D. Reilly Robby Robson Dorothy Stanley
41、 Adrian Stephens Mehmet Ulema Phil Wennblom Howard Wolfman Yu Yuan *Member Emeritus 7 Copyright 2017 IEEE. All rights reserved. Introduction This introduction is not part of IEEE Std 21451-001-2017, IEEE Recommended Practice for Signal Treatment Applied to Smart Transducers. IEEE Std 21451-001, a re
42、commended practice, defines signal processing algorithms and data structure in order to share and infer signal and state information of instrumentation or control systems. These algorithms are based on acquired signals and the transducers attached to the systems. This recommended practice also defin
43、es the commands and responses for requesting information and algorithms for shape analysis, such as exponential, sinusoidal, impulsive noise, noise, and tendency. 8 Copyright 2017 IEEE. All rights reserved. Contents 1. Overview 10 1.1 Scope . 10 1.2 Purpose 10 1.3 Conformance . 10 2. Normative refer
44、ences 11 3. Definitions, abbreviations, and units 11 3.1 Definitions . 11 3.2 Abbreviations 11 3.3 Units 12 4. Need for the recommended practice . 12 4.1 Introduction . 12 4.2 A Simple example of application. 14 4.3 Outline of the recommended practice 14 5. Smart transducer functional specification
45、15 5.1 ISO/IEC/IEEE 21451 reference model 15 5.2 Users network . 15 5.3 NCAP network interface 16 5.4 ISO/IEC/IEEE 21450 NCAP transducer services 16 5.5 ISO/IEC/IEEE 21450/IEEE 1451.X NCAP module communication interface . 16 5.6 Physical interface between NCAP and TIM 16 5.7 ISO/IEC/IEEE 21450/IEEE
46、1451.X TIM communication interface . 16 5.8 ISO/IEC/IEEE 21450 TIM transducer services . 16 5.9 IEEE 21451-001 TIM transducer signal treatment services 16 5.10 Signal conditioner and data conversion . 17 5.11 Transducers 17 6. Algorithms for signal description . 17 6.1 Introduction . 17 6.2 Segmenta
47、tion algorithm . 17 6.3 Labeling description 19 6.4 Algorithm for real-time segmentation and labeling (RTSAL) . 22 6.5 Description of RTSAL algorithm 24 7. Transducer signal features extraction . 24 7.1 Introduction . 24 7.2 Initial parameters . 25 7.3 Variable definitions . 25 8. First layer algori
48、thms 26 8.1 Introduction . 26 8.2 First layer functions . 26 8.3 Exponential pattern detection 26 8.4 Noise detection 28 8.5 Impulsive noise detection 32 8.6 Sinusoidal pattern detection . 35 8.7 Tendency estimation 40 8.8 Mean estimation 42 9 Copyright 2017 IEEE. All rights reserved. 9. Services re
49、quired for the first layer algorithms 43 10. Prediction 44 10.1 Introduction . 44 10.2 Steady-state signal value estimation 44 10.3 Prediction for damped oscillations 46 11. Filtering 46 11.1 General 46 11.2 Filtering based on iteration selection . 49 12. Compression . 53 12.1 General 53 12.2 Example . 53 12.3 Algorithm 55 13. Complex pattern analysis: impulsive-like signals 58 13.1 Detection of QRS pattern in ECG signals 58 13.2 Unexpected segments 59 14. User-defined application code 61 15. Transducer algorithm data sheet (TADS) . 61 16. IEEE 21451-001 transducer s
