Adaptively Estimating Rotation Speed From DC Motor Current Ripple for Order Tracking and Fault Diagnosis

2019 ◽  
Vol 68 (3) ◽  
pp. 741-753 ◽  
Author(s):  
Siliang Lu ◽  
Yi Qin ◽  
Jun Hang ◽  
Baohua Zhang ◽  
Qunjing Wang
Keyword(s):  
Fault Diagnosis ◽  
Rotation Speed ◽  
Dc Motor ◽  
Motor Current ◽  
Order Tracking ◽  
Current Ripple

scholarly journals Mechanical Fault Diagnostic in PMSM from Only One Current Measurement: A Tacholess Order Tracking Approach

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 5011
Author(s):  
Abdallah Allouche ◽  
Erik Etien ◽  
Laurent Rambault ◽  
Thierry Doget ◽  
Sebastien Cauet ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Statistical Approach ◽  
Rotation Speed ◽  
Current Measurement ◽  
Synchronous Machines ◽  
Variable Speed ◽  
Position Measurement ◽  
Order Tracking ◽  
Rotor Angle ◽  
Set Up

This article presents a mechanical fault diagnosis methodology in synchronous machines using only a single current measurement in variable speed conditions. The proposed methodology uses order tracking in order to sample the analysis signal as a function of the rotor angle. The spectrum of the signal is then independent of speed and it could be employed in frequency analysis. Order tracking is usually applied using rotor position measurement. In this work, the proposed method uses one current measurement to estimate the position as well as the analysis signal (rotation speed). Furthermore, a statistical approach is used to create a complete diagnosis protocol. At variable speed and with only one current measurement the diagnosis is challenging. However, order tracking will allow simpler analysis. The method is proved in simulations and experimental set-up.

scholarly journals Sensorless Speed Control of Brushed DC Motor Based at New Current Ripple Component Signal Processing

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5359
Author(s):  
Michal Vidlak ◽  
Lukas Gorel ◽  
Pavol Makys ◽  
Michal Stano
Keyword(s):  
Signal Processing ◽  
Bandpass Filter ◽  
Control Structure ◽  
Speed Control ◽  
Dc Motor ◽  
Rotor Speed ◽  
Motor Current ◽  
Wide Range ◽  
New Interpretation ◽  
Current Ripple

Signal processing of the brushed DC motor current was developed in this paper to obtain information about a rotor speed from a measured motor current. The brushed DC motor current contains a signal with a frequency proportional to the rotor speed. This signal is the outcome of a commutation process occurring in the brushed DC motor, and it is called a ripple component. Since the number of ripples in the measured motor current per one rotation is constant, the rotor speed can be estimated. A discrete bandpass filter with a floating bandwidth was developed as the main part of signal processing. This new interpretation of the bandpass filter was used to extract a frequency of the ripple component from the measured motor current. This frequency was used to acquire information about the estimated rotor speed. The estimated speed was set as a feedback value to a cascade control structure to provide sensorless speed control. The advantages and limitations of this approach are presented in this paper. Based on simulations and experimental results, it was confirmed that the proposed sensorless speed control is robust, accurate, and works precisely in a wide range of speeds.

Compound-Fault Diagnosis of Bearing Based on Order Tracking Wavelet Packet and Rough Sets

2011 ◽  
Vol 130-134 ◽  
pp. 1681-1685 ◽  
Author(s):  
Guang Tian ◽  
Hao Tian ◽  
Guang Sheng Liu ◽  
Jin Hui Zhao ◽  
Li Ping Luo
Keyword(s):  
Fault Diagnosis ◽  
Rough Sets ◽  
Wavelet Packet ◽  
Decision Rules ◽  
Vibration Signals ◽  
Rough Sets Theory ◽  
Equal Angle ◽  
Order Tracking ◽  
Start Up ◽  
Sets Theory

The diagnosis of compound-fault is always a difficult point, and there is not an effective method in equipment diagnosis field, then a new method of compound-fault diagnosis was presented. The vibration signals at start-up in the gearbox are non-stationary signals, and traditional ways of diagnosis have low precision. Order tracking and wavelet packet and rough sets theory are introduced in the compound-fault diagnosis of bearing. First, the vibration signals at start-up were resampled using computer order tracking arithmetic and equal angle distributed vibration signals were obtained, and wavelet packet has been used for equal angle distributed vibration signals decomposition and reconstruction. Then, energy distribution of every frequency band can be calculated according to normalization process. A new feature vector can be obtained, then clear and concise decision rules can be obtained by rough sets theory. Finally, the result of compound-fault example proves that the proposed method has high validity and more amplitude appliance foreground.

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