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- W2740969018 abstract "The paper presents a study on health diagnosis and prognosis of an industrial diesel motor. Two well-known approaches, Hidden Markov Model (HMM) and particle filter (PF), are applied from real recorded data with different measurements. The recorded data is firstly pre-processed and health indicator is then chosen before implementing each used approach. The obtained results are analyzed and discussed. The use and advantages of each approach are finally highlighted." @default.
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- W2740969018 date "2017-07-29" @default.
- W2740969018 modified "2023-10-09" @default.
- W2740969018 title "A Study on Health Diagnosis and Prognosis of an Industrial Diesel Motor: Hidden Markov Models and Particle Filter Approach" @default.
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- W2740969018 doi "https://doi.org/10.1007/978-3-319-64474-5_32" @default.
- W2740969018 hasPublicationYear "2017" @default.
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