Gestión del mantenimiento predictivo aplicado a motores tipo Diesel Cummins 6BTA 5.9 para mejorar su confiabilidad operacional

Abstract

In the project, a methodology is developed to define how to combine the available predictive maintenance technologies such as: vibration analysis, wear detection, oil analysis, thermography, ultrasound, among others, which, when applied to alternative internal combustion engines, specifically of the Cummins brand, 6BTA series, they allow to detect and measure parameters and trends of the operating state, which allows timely maintenance that avoids unforeseen failures, improving its operational availability. Conventional vibration analysis is not applied, since it is not capable of specifically detecting the failure of equal components that operate at the same frequency. For this reason, it is proposed to use specialized diagnostic equipment that combines Windrock-type vibration and ultrasound measurements to identify components that are individually damaged and operate at the same frequency, establishing amplitude limits of the vibration speed as expressed by the manufacturer Cummins. in their workshop manual and guides to ISO 2372-10816 [7]. In addition, the critical components of the engines analyzed in their operating context and their corresponding predictive parameters and limit ranges according to the manufacturer's manual are defined by means of Pareto analysis, in order to periodically carry out the evolution of the defined predictive parameters. Also, an economic technical analysis is applied to measure the feasibility when applying the predictive maintenance approach in the management of this type of assets. An annual saving of 8 million pesos per engine is estimated, including losses due to lost profits, which makes the implementation of predictive maintenance in the fleet of ships attractive from a monetary perspective, to improve their availability and profit indicators. Finally, because it is more representative of the annual calculation of costs for the fleet, a cost model is proposed, based on the failure rate of these engines, to quantify the annual savings by reducing the failure rate, which is left as possible. future research, basis of a complementary degree work.