Condition Based Maintenance (CBM)
Introduction
Condition-based maintenance (in English: Condition-based maintenance or CBM) is an asset management strategy that proposes to perform maintenance interventions only when certain performance or condition indicators of the asset show signs of deterioration. It differs from traditional preventive maintenance because it does not follow fixed time intervals, but is based on data measured in real time or at defined intervals.[1].
Definition
Condition-based maintenance uses monitoring techniques to identify variations in physical parameters such as vibration, temperature, pressure or electrical current. From this data, it is determined whether a piece of equipment should be intervened to avoid failures.[2].
History
The concept emerged in the middle of the century as part of the evolution towards predictive maintenance. The development of sensors and data acquisition systems allowed us to move from manual inspections to diagnoses based on continuous monitoring.[3].
Techniques used
Among the most common techniques for applying condition-based maintenance are:
Applications
CBM is used in sectors such as:
An example of an application in the Latin American industry is found in the implementation of wireless sensors for predictive monitoring and diagnosis of faults in electric motors and reducers. These technologies allow abnormal conditions to be detected without the need for scheduled stops.[4][5].
[[Category:Industrial maintenance]].
[[Category:Asset Management]].
[[Category:Maintenance engineering]].
[[Category:Reliability]].
References
- [1] ↑ ISO (2012). Condition monitoring and diagnostics of machines — General guidelines. International Organization for Standardization. ISBN 978-92-67-10553-3 |isbn= incorrecto (ayuda).
- [2] ↑ «Condition Based Maintenance» (en inglés). ResearchGate. Consultado el 29 de agosto de 2025.: https://www.researchgate.net/publication/319262729_Condition_Based_Maintenance
- [3] ↑ Mobley, R. Keith (2002). An Introduction to Predictive Maintenance. Elsevier. ISBN 978-0750675314.
- [4] ↑ «¿Qué es el Monitoreo Predictivo y cómo ayuda a que tus activos sean más eficientes?». Maper. Consultado el 29 de agosto de 2025.: https://mapertech.com/como-el-monitoreo-predictivo-mejora-la-eficiencia-de-tus-activos/
- [5] ↑ Jardine, Andrew K.S.; Lin, Daming; Banjevic, Dragan (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance 20. Mechanical Systems and Signal Processing. pp. 1483-1510. doi:10.1016/j.ymssp.2005.09.012.: https://dx.doi.org/10.1016%2Fj.ymssp.2005.09.012