Hybrid adaptive model to optimise components replacement strategy: A case study of railway brake blocks failure analysis

Appoh, Frederick; Yunusa‐Kaltungo, Akilu; Sinha, Jyoti

doi:10.1016/j.engfailanal.2021.105539

Cited by 10 publications

(2 citation statements)

References 54 publications

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“…2. Appoh et al (2021) desarrollaron una técnica para predecir con precisión fallas en los frenos debido al desgaste. Está técnica puede ayudar a determinar cuándo debe aplicarse mantenimiento o cambio en los frenos para asegurar el correcto funcionamiento de este sistema, con la finalidad de prevenir accidentes por colisión e incluso descarrilamiento.…”

Section: Análisis Prevención Y Predicción De Accidentesunclassified

Análisis, predicción y prevención de accidentes: un camino a la creación de trenes inteligentes

Sandoval Valencia,

Jáuregui-Correa,

Hurtado-Hurtado

2025

inventio

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Los accidentes de trenes son eventos trágicos en los cuales ocurren pérdidas materiales y humanas. Estudiar a fondo estos siniestros permite conocer los factores que los originan, con lo cual es posible establecer una estrategia para reducir su aparición o evitarlos en su totalidad. En este artículo se exploran los estudios que se están realizando en este tema, a fin de analizar, predecir y prevenir accidentes. Asimismo, se da a conocer al lector la importancia de seguir estudiando los datos históricos de los accidentes y cómo las tecnologías emergentes cumplen un papel relevante en su disminución. El hallazgo más significativo es que las metodologías, algoritmos y tecnologías creadas en este campo van encaminadas hacia la creación de trenes inteligentes.

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Section: Análisis Prevención Y Predicción De Accidentesunclassified

Análisis, predicción y prevención de accidentes: un camino a la creación de trenes inteligentes

Sandoval Valencia,

Jáuregui-Correa,

Hurtado-Hurtado

2025

inventio

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“…Some approaches mainly Analyzing Figure 17a, it is possible to carry out some considerations regarding possible applications of a predictive maintenance approach [1]. Some approaches mainly based on machine learning [34,35] are already available in the literature, however the innovative solution proposed in this paper was based on the smart measurement of pressure values in some peculiar points of the systems to identify possible faults in the main components. This way it could be possible to run simple and efficient algorithm directly on the on-board gateway in real time to perform these diagnostic activities.…”

Section: Diagnostic Analysismentioning

confidence: 99%

Energy Autonomous Wireless Sensor Nodes for Freight Train Braking Systems Monitoring

Zanelli

Mauri

Dezza

et al. 2022

Sensors

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Nowadays, railway freight transportation is becoming more and more crucial since it represents the best alternative to road transport in terms of sustainability, pollution, and impact on the environment and on public health. Upgrading the potentiality of this kind of transportation, it would be possible to avoid delays in goods deliveries due to road accidents, traffic jams, and other situation occurring on roads. A key factor in this framework is therefore represented by monitoring and maintenance of the train components. Implementing a real time monitoring of the main components and a predictive maintenance approach, it would be possible to avoid unexpected breakdowns and consequently unavailability of wagons for unscheduled repair activities. As highlighted in recent statistical analysis, one of the elements more critical in case of failure is represented by the brake system. In this view, a real time monitoring of pressure values in some specific points of the system would provide significant information on its health status. In addition, since the braking actions are related to the load present on the convoy, thanks to this kind of monitoring, it would be possible to appreciate the different behavior of the system in case of loaded and unloaded trains. This paper presented an innovative wireless monitoring system to perform brake system diagnostics. A low-power system architecture, in terms of energy harvesting and wireless communication, was developed due to the difficulty in applying a wired monitoring system to a freight convoy. The developed system allows acquiring brake pressure data in critical points in order to verify the correct behavior of the brake system. Experimental results collected during a five-month field test were provided to validate the approach.

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Economic Pinch Analysis for Estimating Service Life

Roy

Bandyopadhyay

2022

Process Integr Optim Sustain

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Hybrid adaptive model to optimise components replacement strategy: A case study of railway brake blocks failure analysis

Cited by 10 publications

References 54 publications

Análisis, predicción y prevención de accidentes: un camino a la creación de trenes inteligentes

Análisis, predicción y prevención de accidentes: un camino a la creación de trenes inteligentes

Energy Autonomous Wireless Sensor Nodes for Freight Train Braking Systems Monitoring

Economic Pinch Analysis for Estimating Service Life

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