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Prof. Dr. Diego Galar
Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics, Luleå University of Technology, Luleå, Sweden

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0 Diagnostics
0 Digitization
0 MAAs
0 Prognostics
0 Supportability

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Journal article
Published: 16 June 2021 in Sustainability
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Heating, ventilation, and air conditioning (HVAC) systems installed in a passenger train carriage are critical systems, whose failures can affect people or the environment. This, together with restrictive regulations, results in the replacement of critical components in initial stages of degradation, as well as a lack of data on advanced stages of degradation. This paper proposes a hybrid model-based approach (HyMA) to overcome the lack of failure data on a HVAC system installed in a passenger train carriage. The proposed HyMA combines physics-based models with data-driven models to deploy diagnostic and prognostic processes for a complex and critical system. The physics-based model generates data on healthy and faulty working conditions; the faults are generated in different levels of degradation and can appear individually or together. A fusion of synthetic data and measured data is used to train, validate, and test the proposed hybrid model (HyM) for fault detection and diagnostics (FDD) of the HVAC system. The model obtains an accuracy of 92.60%. In addition, the physics-based model generates run-to-failure data for the HVAC air filter to develop a remaining useful life (RUL) prediction model, the RUL estimations performed obtained an accuracy in the range of 95.21–97.80% Both models obtain a remarkable accuracy. The development presented will result in a tool which provides relevant information on the health state of the HVAC system, extends its useful life, reduces its life cycle cost, and improves its reliability and availability; thus enhancing the sustainability of the system.

ACS Style

Antonio Gálvez; Alberto Diez-Olivan; Dammika Seneviratne; Diego Galar. Fault Detection and RUL Estimation for Railway HVAC Systems Using a Hybrid Model-Based Approach. Sustainability 2021, 13, 6828 .

AMA Style

Antonio Gálvez, Alberto Diez-Olivan, Dammika Seneviratne, Diego Galar. Fault Detection and RUL Estimation for Railway HVAC Systems Using a Hybrid Model-Based Approach. Sustainability. 2021; 13 (12):6828.

Chicago/Turabian Style

Antonio Gálvez; Alberto Diez-Olivan; Dammika Seneviratne; Diego Galar. 2021. "Fault Detection and RUL Estimation for Railway HVAC Systems Using a Hybrid Model-Based Approach." Sustainability 13, no. 12: 6828.

Journal article
Published: 01 January 2019 in Journal of Industrial Engineering and Management Science
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The New Asset Management: Implications of Servitization in Circular Economy

ACS Style

Dammika Seneviratne; Roberto Villarejo; Diego Galar. The New Asset Management: Implicationsof Servitization in Circular Economy. Journal of Industrial Engineering and Management Science 2019, 2018, 109 -120.

AMA Style

Dammika Seneviratne, Roberto Villarejo, Diego Galar. The New Asset Management: Implicationsof Servitization in Circular Economy. Journal of Industrial Engineering and Management Science. 2019; 2018 (1):109-120.

Chicago/Turabian Style

Dammika Seneviratne; Roberto Villarejo; Diego Galar. 2019. "The New Asset Management: Implicationsof Servitization in Circular Economy." Journal of Industrial Engineering and Management Science 2018, no. 1: 109-120.

Journal article
Published: 01 July 2018 in Measurement
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With the increase of wind power capacity worldwide, researchers are focusing their attention on the operation and maintenance of wind turbines. A proper pitch controller must be designed to extend the life cycle of a wind turbine’s blades and tower. The pitch control system has two main, but conflicting, objectives: to maximize the wind energy captured and converted into electrical energy and to minimize fatigue and mechanical load. Four metrics have been proposed to balance these two objectives. Also, diverse pitch controller strategies are proposed in this paper to evaluate these objectives. This paper proposes a novel metrics approach to achieve the conflicting objectives with a maintenance focus. It uses a 100 kW wind turbine as a case study to simulate the proposed pitch control strategies and evaluate with the metrics proposed. The results are showed in two tables due to two different wind models are used.

ACS Style

Asier González-González; Alberto Jimenez Cortadi; Diego Galar; Lorenzo Ciani. Condition monitoring of wind turbine pitch controller: A maintenance approach. Measurement 2018, 123, 80 -93.

AMA Style

Asier González-González, Alberto Jimenez Cortadi, Diego Galar, Lorenzo Ciani. Condition monitoring of wind turbine pitch controller: A maintenance approach. Measurement. 2018; 123 ():80-93.

Chicago/Turabian Style

Asier González-González; Alberto Jimenez Cortadi; Diego Galar; Lorenzo Ciani. 2018. "Condition monitoring of wind turbine pitch controller: A maintenance approach." Measurement 123, no. : 80-93.

Journal article
Published: 06 June 2018 in Eksploatacja i Niezawodnosc - Maintenance and Reliability
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ACS Style

Alberto Jimenez Cortadi; Itziar Irigoien; Fernando Boto; Basilio Sierra; Alfredo Suarez; Diego Galar. A statistical data-based approach to instability detection and wear prediction in radial turning processes. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2018, 20, 405 -412.

AMA Style

Alberto Jimenez Cortadi, Itziar Irigoien, Fernando Boto, Basilio Sierra, Alfredo Suarez, Diego Galar. A statistical data-based approach to instability detection and wear prediction in radial turning processes. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 2018; 20 (3):405-412.

Chicago/Turabian Style

Alberto Jimenez Cortadi; Itziar Irigoien; Fernando Boto; Basilio Sierra; Alfredo Suarez; Diego Galar. 2018. "A statistical data-based approach to instability detection and wear prediction in radial turning processes." Eksploatacja i Niezawodnosc - Maintenance and Reliability 20, no. 3: 405-412.