Testing numerical reliability of data analysis systems

Reliability Analysis of Data Storage Systems

Modern data storage systems are extremely large and consist of several tens or hundreds of nodes. In such systems, node failures are daily events, and safeguarding data from them poses a serious design challenge. The focus of this thesis is on the data reliability analysis of storage systems and, in particular, on the effect of different design choices and parameters on the system reliability. ...

Statistical Analysis of Reliability Data in Ramdomly Censored Life Testing

For independent nonnegative continuous random variables Xl, ... , Xb Z = min (Xl, ... , Xk) and fj;(i=1, ... , k), where fji = 1 if Z = Xi and fji = 0 otherwise, are statistically independent random variables if and only if the distribution of Xi is written as Fi(X) = 1 exp(-piQ(X)) (i=1, ... , k). From this characterization theorem for the random variable Xi, an unbiased estimate for failure r...

Assessment and Monitoring for Railway Tracks Reliability and Safety using Nondestructive Testing Measurement Systems

The deterioration of railway tracks raises great concerns about the integrity of assessments and evaluations of railway tracks currently in service. Integrated inspection strategies coupled with innovations in inspection technology can lead to significant improvements in operational cost efficiency and reliability without the requirement of a fundamental shift in the existing understanding o...

Testing noisy numerical data for monotonic association

Rank correlation measures are intended to measure to which extent there is a monotonic association between two observables. While they are mainly designed for ordinal data, they are not ideally suited for noisy numerical data. In order to better account for noisy data, a family of rank correlation measures has previously been introduced that replaces classical ordering relations by fuzzy relati...

9 Reliability Analysis of Systems