IEEE 21451 001 2017
$80.71
IEEE Recommended Practice for Signal Treatment Applied to Smart Transducers
| Published By | Publication Date | Number of Pages |
| IEEE | 2017 | 109 |
New IEEE Standard – Active. Signal processing algorithms and data structure are defined in this recommended practice 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 algorithms as application programming interface (API), which is used for applications to use or call these transducer signal treatment services.
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 1 | IEEE Std 21451-001™-2017 Front cover |
| 2 | Title page |
| 4 | Important Notices and Disclaimers Concerning IEEE Standards Documents |
| 7 | Participants |
| 8 | Introduction |
| 9 | Contents |
| 11 | 1. Overview 1.1 Scope 1.2 Purpose 1.3 Conformance |
| 12 | 2. Normative references 3. Definitions, abbreviations, and units 3.1 Definitions 3.2 Abbreviations |
| 13 | 3.3 Units 4. Need for the recommended practice 4.1 Introduction |
| 15 | 4.2 A Simple example of application 4.3 Outline of the recommended practice |
| 16 | 5. Smart transducer functional specification 5.1 ISO/IEC/IEEE 21451 reference model 5.2 User’s network |
| 17 | 5.3 NCAP network interface 5.4 ISO/IEC/IEEE 21450 NCAP transducer services 5.5 ISO/IEC/IEEE 21450/IEEE 1451.X NCAP module communication interface 5.6 Physical interface between NCAP and TIM 5.7 ISO/IEC/IEEE 21450/IEEE 1451.X TIM communication interface 5.8 ISO/IEC/IEEE 21450 TIM transducer services 5.9 IEEE 21451-001 TIM transducer signal treatment services |
| 18 | 5.10 Signal conditioner and data conversion 5.11 Transducers 6. Algorithms for signal description 6.1 Introduction 6.2 Segmentation algorithm |
| 20 | 6.3 Labeling description |
| 23 | 6.4 Algorithm for real-time segmentation and labeling (RTSAL) |
| 25 | 6.5 Description of RTSAL algorithm 7. Transducer signal features extraction 7.1 Introduction |
| 26 | 7.2 Initial parameters 7.3 Variable definitions |
| 27 | 8. First layer algorithms 8.1 Introduction 8.2 First layer functions 8.3 Exponential pattern detection |
| 29 | 8.4 Noise detection |
| 33 | 8.5 Impulsive noise detection |
| 36 | 8.6 Sinusoidal pattern detection |
| 41 | 8.7 Tendency estimation |
| 43 | 8.8 Mean estimation |
| 44 | 9. Services required for the first layer algorithms |
| 45 | 10. Prediction 10.1 Introduction 10.2 Steady-state signal value estimation |
| 47 | 10.3 Prediction for damped oscillations 11. Filtering 11.1 General |
| 50 | 11.2 Filtering based on iteration selection |
| 54 | 12. Compression 12.1 General 12.2 Example |
| 56 | 12.3 Algorithm |
| 59 | 13. Complex pattern analysis: impulsive-like signals 13.1 Detection of QRS pattern in ECG signals |
| 60 | 13.2 Unexpected segments |
| 62 | 14. User-defined application code 15. Transducer algorithm data sheet (TADS) |
| 63 | 16. IEEE 21451-001 transducer signal treatment services API |
| 72 | 17. Implementation guide |
| 74 | Annex A (informative) Bibliography |
| 75 | Annex B (informative) Strategies of samples selection |
| 79 | Annex C (informative) An example of the first layer-sinusoidal pattern detection implementation |
