KEYWORDS: Atomic clocks, Statistical analysis, Clocks, Probability theory, Sensors, Data modeling, Monte Carlo methods, Rubidium, Data acquisition, Statistical modeling
In this paper, the problem of detecting anomalies in the behavior of atomic clocks is addressed by means of
statistical fault detection techniques. In particular, a method based on a generalized likely hood ratio test
(GLRT), which allows the detection of a fault and the estimate of the time at which fault has occurred, is
analyzed and characterized by means of both synthesized and experimental data obtained from a Rubidium
frequency standards. The effectiveness of the method has been already compared with standard tools such
as the Allan variance. In this paper, the characterization of the detection technique is deeply analyzed and
information are used for designing a practical fault detection method for revealing atomic clock failures.
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