Works matching IS 15072711 AND DT 2023 AND VI 25 AND IP 4
Results: 20
Application of Principle Component Analysis and logistic regression to support Six Sigma implementation in maintenance.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 306, doi. 10.17531/ein/174603
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A Semi-Supervised Siamese Network for Complex Aircraft System Fault Detection with Limited Labeled Fault Samples.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 287, doi. 10.17531/ein/174382
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Study on the influence of pin shaft clearance on the bearing performance of the hydraulic support.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 273, doi. 10.17531/ein/174367
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- Article
Improving Diesel Engine Reliability Using an Optimal Prognostic Model to Predict Diesel Engine Emissions and Performance Using Pure Diesel and Hydrogenated Vegetable Oil.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 254, doi. 10.17531/ein/174358
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Effect of different roller end-flange constructions on the fatigue life of the cylindrical roller bearings: A novel flange deformation formula.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 237, doi. 10.17531/ein/174296
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Reliability modeling based on multiple wiener degradation-shock competing failure process and dynamic failure threshold.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 221, doi. 10.17531/ein/174248
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An assessment of the reliability of CFRP composites used in nodes of friction after impact of UV-A impacts and thermal shocks.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 212, doi. 10.17531/ein/174221
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Investigation into the Flow of Gas-Solids during Dry Dust Collectors Exploitation, as Applied in Domestic Energy Facilities – Numerical Analyses.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 193, doi. 10.17531/ein/174095
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Generative modelling of vibration signals in machine maintenance.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 181, doi. 10.17531/ein/173488
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Research on resilience model of UAV swarm based on complex network dynamics.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 167, doi. 10.17531/ein/173125
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An integrated approach to estimate storage reliability with masked data from series system.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 151, doi. 10.17531/ein/172922
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Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 134, doi. 10.17531/ein/172857
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- Article
Assessment of a Carbon Fiber Prosthetic Running Blade for Enhanced Reliability.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 120, doi. 10.17531/ein/172668
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Maintenance policy of degradation components based on the two-phase Wiener process.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 108, doi. 10.17531/ein/172537
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Time-dependent reliability analysis of corroded RC beams based on the phasetype fitting method.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 90, doi. 10.17531/ein/172442
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Deformation measurement system for UAV components to improve their safe operation.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 67, doi. 10.17531/ein/172358
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A genetic algorithm-based approach for flexible job shop rescheduling problem with machine failure interference.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 54, doi. 10.17531/ein/171784
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Multi-feature spatial distribution alignment enhanced domain adaptive method for tool condition monitoring.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 37, doi. 10.17531/ein/171750
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Process machining allowance for reliability analysis of mechanical parts based on hidden quality loss.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 21, doi. 10.17531/ein/171594
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A novel method of health indicator construction and remaining useful life prediction based on deep learning.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 1, doi. 10.17531/ein/171374
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- Article