
Open Access

Subscription Access
Обработка сигналов по технологии PRISM для самоконтроля и самокоррекии датчиков
Abstract
This paper introduces the PRISM, a new type of signal processing technology providing a fully recursive, dual output FIR filter. A simulation example demonstrates that PRISM signal processing can be used to autonomously detect, track, and compensate for an undesired frequency component in a frequency-based sensor in real time, i.e. to carry out its self-check and self-correction.
Keywords
обработка сигнала,
фильтр с конечной импульсной характеристикой,
режим реального времени,
датчик с частотным выходом,
самоконтроль,
самокоррекция,
signal processing,
FIR filter,
real time mode,
frequency-based sensor,
self-check,
self-correction
About the Author
М. Генри
Оксфордский университет
Russian Federation
References
1. Henry M., Bushuev O., Ibryaeva O. PRISM Signal Processing for Sensor Condition Monitoring // IEEE Int. Symp. Industrial Electronics. Edinburgh, U. K., 2017.
2. Sapozhnikova K. V., Henry M., Taymanov R. E. The need for standards for self-diagnosable and self-certifiable instrumentation // Datchiki & Systemi (Sensors & Systems). 2006. No. 6. Р. 51-57.
For citations:
. Izmeritel`naya Tekhnika. 2017;(12):54-57.
(In Russ.)
Views:
73