Preventive maintenance

Condition monitoring is the process of monitoring a machine condition parameter in order to identify a significant change that is indicative of a failure, thus enabling machine maintenance to be scheduled or other measures to be taken to prevent damage or other consequences.

One of the classic approaches to condition monitoring of machinery condition is based on taking periodic measurements of equipment vibrations and comparing them with known healthy/damaged condition data to assess the condition of the equipment. Vibrational measurements require a machine-mounted sensor, such as accelerometers, and this presence can imply disturbances in machine response and performance. Since vibrations are related to acoustic emissions, a possible solution to this problem is the analysis of related acoustic, rather than vibrational, responses, since the sound field contains abundant information related to failure patterns. Some MEMS microphone arrays are specially designed for acoustic imaging of machines to detect possible malfunctions.

Related publications

Título	Autores	Año	ISSN	Revista	Descargar
Comparison of Methodologies for the Detection of Multiple Failures Using Acoustic Images in Fan Matrices	Lara Del Val Puente; Alberto Izquierdo Fuente; Juan jose Villacorta Calvo. Luis Suarez	2020	1875-9203	Shock & Vibration, Hindawi. Volume 2020
Using a Planar Array of MEMS Microphones to Obtain Acoustic Images of a Fan Matrix	Izquierdo, A.; Villacorta, J.J.; del Val Puente, L.; Suárez, L.	2017		Hindawi
First steps on fan matrix condition monitoring andfault diagnosis using an array of digital MEMSmicrophones	Lara del Val Puente Alberto Izquierdo, Juan J. Villacorta, Luis Suárez, Marta Herráez	2017		Proceedings of Meetings on Acoustics, Vol. 30, 030014 (2017)

Título	Autores	Año	Congreso	Descargar
A failure detection methodology using new features of acoustic images of a fan matrix	Lara del Val, Alberto Izquierdo, Juan J. Villacorta, Marta Herráez	2019	Internoise 2019
Analysis of the feasibility of an array of MEMS microphones to machinery condition monitoring or fault diagnosis	Lara del Val, Alberto Izquierdo, Juan J. Villacorta, Luis Suárez, Marta Herráez	2017	Acoustics'17
Could an array of MEMS microphones be used to monitor machinery condition or diagnose failures?	Lara del Val, Marta Herráez, Alberto Izquierdo, Juan J. Villacorta, Luis Suárez	2017	24th International Journal of Sound and Vibration (ICSV24)