Analysis, evaluation and monitoring of the characteristic frequencies of pneumatic drive unit and its bearing through their corresponding frequency spectra and spectral density
This article shows the results of the study of the characteristic frequencies of pneumatic drive equipment and its suspension bearing. The analysis approaches one of the most important requirements of the industrial sector, which seeks to be recognised by the efficiency and performance of its equipm...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad de Huelva (UHU) |
| Repositorio: | Arias Montano. Repositorio Institucional de la Universidad de Huelva |
| Idioma: | inglés |
| OAI Identifier: | oai:ariasmontano.uhu.es:10272/22807 |
| Acceso en línea: | https://hdl.handle.net/10272/22807 |
| Access Level: | acceso abierto |
| Palabra clave: | vibration bearing diagnostics vibroacoustics 3310 Tecnología Industrial 3313 Tecnología E Ingeniería Mecánicas |
| Sumario: | This article shows the results of the study of the characteristic frequencies of pneumatic drive equipment and its suspension bearing. The analysis approaches one of the most important requirements of the industrial sector, which seeks to be recognised by the efficiency and performance of its equipment when compared to its coming economic competitors. For data collection and we have followed the ISO 10816 standards, thus using the values of speed in RMS, aiming to reduce the masking of these signals that occurs depending on whether they are high or low frequencies. The study will respond to one of the most important requirements found in the predictive and preventive control of industrial sites. The problem of the predictive systems of maintenance of equipment with bearings lies in the number of monitoring and analysis points that generate a high cost in time and human resources. The aim will be to determine which of all the study frequencies is the most significant and in which position and measurement axis has the biggest impact. To do this, we will analyse the rotation frequency of the blowing machine, the resulting frequency of all the frequencies, the frequency of the impulsion blades and finally the frequency of the bearing. The study would be able to predict when our equipment is going to suffer a failure, reducing the control points and the cost. |
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