A Method for Estimation of Motor Rotational Speed from STFT Spectrogram at a Non-stationary Conditions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128022" target="_blank" >RIV/00216305:26220/18:PU128022 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.ifacol.2018.07.167" target="_blank" >http://dx.doi.org/10.1016/j.ifacol.2018.07.167</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ifacol.2018.07.167" target="_blank" >10.1016/j.ifacol.2018.07.167</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Method for Estimation of Motor Rotational Speed from STFT Spectrogram at a Non-stationary Conditions

Popis výsledku v původním jazyce

Vibration signals acquired from rotational machines may be measured without a tacho signal for different reasons -- either the speed sensor cannot be mounted due to construction reasons, speed was not measured, or the tacho signal is corrupted or not accurate enough in case of higher speeds. This paper shows STFT spectrogram based approach to determine speed profile from multiple time-varying frequency components that can be used for instance for direct processing by a Vold-Kalman filter (VKF). The method functionality is demonstrated on a simulated signal as well as on a vibration signal measured using an accelerometer on electric motor during the run-up conditions, while the rotational speed was not measured. The only known information is maximum rotational speed, presence of run-up in the signal and the motor geometry. Conducted experiment showed that despite the simple approach that resides in utilization of only one method that results directly the speed profile, the method can handle larger rotational speed changes while having enough resolution needed for VKF processing.

Název v anglickém jazyce

A Method for Estimation of Motor Rotational Speed from STFT Spectrogram at a Non-stationary Conditions

Popis výsledku anglicky

Vibration signals acquired from rotational machines may be measured without a tacho signal for different reasons -- either the speed sensor cannot be mounted due to construction reasons, speed was not measured, or the tacho signal is corrupted or not accurate enough in case of higher speeds. This paper shows STFT spectrogram based approach to determine speed profile from multiple time-varying frequency components that can be used for instance for direct processing by a Vold-Kalman filter (VKF). The method functionality is demonstrated on a simulated signal as well as on a vibration signal measured using an accelerometer on electric motor during the run-up conditions, while the rotational speed was not measured. The only known information is maximum rotational speed, presence of run-up in the signal and the motor geometry. Conducted experiment showed that despite the simple approach that resides in utilization of only one method that results directly the speed profile, the method can handle larger rotational speed changes while having enough resolution needed for VKF processing.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/LO1210" target="_blank" >LO1210: Energie v podmínkách udržitelného rozvoje (EN-PUR)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IFAC-PapersOnline

ISBN

—

ISSN

2405-8963

e-ISSN

—

Počet stran výsledku

6

Strana od-do

283-288

Název nakladatele

Neuveden

Místo vydání

Ostrava

Místo konání akce

Ostrava

Datum konání akce

23. 5. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000445644900048