Efficiency and calibration factors for continuous monitoring systems of airborne radioactivity in ducts: Monte Carlo, analytical and experimental approaches compared

Abstract The present paper provides a method to predict maintenance needs for the railway wheelsets by modeling the wear out affecting the wheelsets during its life cycle using survival analysis. Wear variations of wheel profiles are discretized and modelled through a censored survival approach, which is appropriate for modeling wheel profile degradation using real operation data from the condition monitoring systems that currently exist in railway companies. Several parametric distributions for the wear variations are modeled and the behavior of the selected ones is analyzed and compared with wear trajectories computed by a Monte Carlo simulation procedure. This procedure aims to test the independence of events by adding small fractions of wear to reach larger wear values. The results show that the independence of wear events is not true for all the established events, but it is confirmed for small wear values. Overall, the proposed framework is developed in such a way that the outputs can be used to support predictions in condition-based maintenance models and to optimize the maintenance of wheelsets.

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Periodic and Continuous Vibration Monitoring for Preventive/Predictive Maintenance of Rotating Machinery

Journal of Engineering for Gas Turbines and Power ◽

10.1115/1.3240019 ◽

1987 ◽

Vol 109 (2) ◽

pp. 159-167 ◽

Cited By ~ 10

Author(s):

W. C. Laws ◽

A. Muszynska

Keyword(s):

Vibration Analysis ◽

Continuous Monitoring ◽

Cost Effective ◽

Predictive Maintenance ◽

Vibration Monitoring ◽

Alternative Methods ◽

Monitoring Systems ◽

High Quality ◽

Analysis Techniques ◽

Vibration Data

The application of vibration monitoring as part of Preventive/Predictive Maintenance programs is discussed. Several alternative methods, including periodic and continuous monitoring techniques, are described. Emphasis is given to the importance of selecting vibration transducers with due regard for the specific machinery type. The equally important need to install monitoring systems which are cost effective and provide genuinely useful information for maintenance engineers and vibration analysts is also highlighted. It is argued that critical machinery should be monitored continuously, and in cases when more detailed investigation is required that high-quality Predictive Maintenance vibration analysis techniques be applied. The need is also emphasized for specialist interpretation of vibration data in order to identify specific machinery malfunctions, of which several examples are given.

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EVELOPMENT OF MATHEMATICAL MODEL"INSULIN-GLUCOSE"

National Association of Scientists ◽

10.31618/nas.2413-5291.2020.1.55.218 ◽

2020 ◽

Vol 1 (28(55)) ◽

pp. 32-36

Author(s):

S.I. Kisil ◽

T.S. Zaletova

Keyword(s):

Mathematical Model ◽

Blood Glucose ◽

Mathematical Models ◽

Blood Sugar ◽

Continuous Monitoring ◽

Monitoring Systems

Algorithms for predicting blood glucose based on the use of mathematical models that can be used in continuous monitoring systems for blood sugar are described.

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EXISTING APPROACHES TO THE MATHEMATICAL MODEL"INSULIN-GLUCOSE"

National Association of Scientists ◽

10.31618/nas.2413-5291.2020.1.54.192 ◽

2020 ◽

Vol 1 (27(54)) ◽

pp. 4-7

Author(s):

S.I. Kisil ◽

T.S. Zaletova

Keyword(s):

Mathematical Model ◽

Blood Glucose ◽

Mathematical Models ◽

Blood Sugar ◽

Continuous Monitoring ◽

Monitoring Systems ◽

The Mathematical Model

Algorithms for predicting blood glucose based on the use of mathematical models that can be used in continuous monitoring systems for blood sugar are described.

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