The data set contains electrical and mechanical signals from experiments on three-phase induction motors. The experimental tests were carried out for different mechanical loads on the induction motor axis and different severities of broken bar defects in the motor rotor, including data regarding the rotor without defects. Ten repetitions were performed for each experimental condition.

Instructions: 

The bench of experiments is on the premises of the School of Engineeringof São Carlos (EESC) of the University of São Paulo (USP), Brazil, more specifically in theLaboratory of Intelligent Automation of Processes and Systems (LAIPS) and Laboratory ofIntelligent Control of Electrical Machines (LACIME).

The three-phase induction motor is a model of the W22 standard line from manufacturer WEG, 1 cv, 220V / 380V, 3.02A / 1.75A, 4 poles, 60 Hz, with a nominal torque of 4.1 N.m and nominal speed of 1715 rpm. The rotor is a squirrel cage type made up of 34 bars. It is driven by means of a control panel that allows the selection of the type of drive, star or triangle, and the type of supply, direct mains voltage or via a three-phase inverter.

The rotary torque wrench used in the research is the Transtec model MT-103, with a maximum rotation of 2000 rpm, based on Wheatstone bridge technology and with a sensitivity of 2 mV / V. Its main function is to allow visualization of the torque present in the shaft, which will be varied simulating various operating conditions of the induction motor.

Manual adjustment of the resistant torque is done by varying the field winding voltage of the direct current generator. Therefore, to reduce the magnitude of the grid voltage, a 1800W single-phase voltage variation is used by Variac, and to convert the alternating voltage to continuous, a single-phase rectifier is used which feeds the field winding.

The vibration sensors used were Vibrocontrol uniaxial accelerometers, model PU 2001, with sensitivity of 10 mV / mm / s, frequency range 5 to 2000 Hz and stainless-steel housing, which provides the integrated acceleration signal over time. , ie provides the measure of vibration velocity. In total five accelerometers were used simultaneously, located non-drive end side motor, drive end side motor, housing, in the axial direction of the motor, and on the support desk. Therefore, these monitoring points allow the measurement of axial, tangential and radial velocity.

The currents were measured using alternating current probes, which correspond to precision meters, with a capacity of up to 50 A RMS, with an output voltage of 10 mV / A, corresponding to the Yokogawa model 96033. The voltages were measured directly at the MIT terminals using oscilloscope voltage tips also from the manufacturer Yokogawa.

To simulate the failure of broken bars in the squirrel cage rotor of the three-phase induction motor it was necessary to drill the rotor. Drilling was carried out by means of a bench drill mounted with a 6 mm diameter drill to ensure that the diameter of the hole exceeds the width of a rotor bar, with the tip centered at half the longitudinal length of the rotor.

Since in a real situation the breaking rotor bars are usually adjacent to the first broken bar, 4 rotors were tested, the first with one broken bar, the second with two adjacent broken bars, and so on to the rotor containing four adjacent bars. broken . It is worth mentioning that the hub depth of all tested rotors was the same, corresponding to 20 mm.

Thus, a rotor without a hole was tested first, that is, a healthy rotor, and then it was successively replaced in order to obtain a database of monitored variables.

Experiments were carried out using the bench mentioned above for the construction of the database. Tests were carried out on healthy motors and motors with defects in direct start with balanced three-phase supply voltage and 60 Hz frequency.

For the preparation of a reliable database, enabling future work were applied 0.5nm shipments, 1,0Nm, 1,5Nm, 2,0Nm, 2,5Nm, 3,0Nm, 3,5Nm, and 4.0Nm to the axis of the three-phase induction motor. For each loading condition of the motor shaft, ten repetitions were performed.

In this way, using the data acquisition system, for each experiment of each loading, the following variables were acquired:

·         voltages in phases A, B, and C;

·         currents in phases A, B, and C;

·         mechanical vibration speeds tangential in the housing, tangential in the base, axial on the driven side, radial on the driven side, and radial on the non-drive side.

This experimental process was performed for the detection and diagnosis of failures for healthy engines and engines with rotors containing 1, 2, 3, and 4 bars broken adjacent.

The database is organized as a structure of the Matlab application. The “struct_rs_R1” structure presents the experimental data referring to the defectless induction motor, “struct_r1b_R1” referring to the rotor with one broken bar, “struct_r2b_R1” referring to the rotor with two broken bars, “struct_r3b_R1” referring to the rotor with three broken bars and “Struct_r4b_R1” for the rotor with four broken bars.

When loading the files containing the experimental data for each structure in the Matlab application, it will be possible to view the experimental data for each of the mechanical loads imposed on the motor shaft. Then, it will be possible to observe the experimental data for each monitored variable.

Categories:
75 Views

The Scaling number are presented in a single figure

Categories:
39 Views

The Scaling number are presented in a single figure

Categories:
Views

Measurement method and Built-In Self-Test (BIST) circuit architecture exploiting Compressive Sampling for frequency response characterization of Digital-to-Analog Converters

Categories:
42 Views

The dataset contains some tests which were performed over composite material samples, propagating Lamb waves using PZT transducers.

Instructions: 

The files are .tdms. Please open them using a tdms reader (i.e., the tdms reader for excel). Each file contains 144 signals which come from Lamb waves propagated through composite samples.

Categories:
186 Views

Videosupplement for the reports [Gradov et al., 2010; Adamovich et al., 2014]. For exaple, see (in open access) article Adamovich E.D. [NON-STANDARD EQUIPMENT FOR NEW BIOACUSTIC METROLOGY] // Biomedical Engineering and Electronics]. - 2017. - Issue 1. - DOI: 10.6084/m9.figshare.4879859 [in Russian] {URL: http://biofbe.esrae.ru/pdf/2017/1/1090.pdf} .

Categories:
75 Views

Modified characteriograph-assisted testings of spectrozonal analog lab-on-a-chip under laser beams

 

Acknowledgements:

  • “Development of the novel physical methods for complex biomedical diagnostics based on position-sensitive mapping with the angular resolution at the tissue and cellular levels using analytical labs-on-a-chip” (RFBR grant # 16-32-00914) [6 838,27 $ per year; 2016-2017];
  • “Lab-on-a-chip development for personalized diagnostics” (FASIE grant 0019125) [3 039,00 $ per year; 2016-2017].
Categories:
69 Views

LF-module-assisted analog lab-on-a-chip measurements with R- (650 nm), G- (532 nm), B- (405 nm) laser sources

 

00:59 - Wavelenth: 650 nm (laser diode);

01:25 - Wavelenth: 405 nm (DPSSL);

01:43 - Wavelenth: 532 nm (DPSSSL);

 

Acknowledgements:

Categories:
64 Views

Testings of spectrozonal analog lab-on-a-chip with angle-sensitive pixels (ASP) using diode laser sources in combined nanosecond reflectometric and stroboscopic oscilloscopic measurements.

 

FILE 1: Combined nanosecond reflectometric and stroboscopic oscilloscopic analysis for RF lab-on-a-chip.mp4

00:15 - Wavelength: 405 nm (DPSS);

00:57 - Wavelength: 650 nm (laser diode source);

 

FILE 2: Analog angle-sensitive pixel lab-on-a-chip testing using nanosecond stroboscopic oscilloscope.mp4

00:20 - Zero Point Calibration (ZPC);

Categories:
65 Views

This task evaluates performance of the sound event detection systems in multisource conditions similar to our everyday life, where the sound sources are rarely heard in isolation. Contrary to task 2, there is no control over the number of overlapping sound events at each time, not in the training nor in the testing audio data.

Last Updated On: 
Tue, 01/10/2017 - 15:56
Citation Author(s): 
Annamaria Mesaros, Toni Heittola, and Tuomas Virtanen

Pages