id: 05833009
dt: j
an: 05833009
au: Coolen, F.P.A.; Spinato, F.; Venkat, D.
ti: On modelling of grouped reliability data for wind turbines.
so: IMA J. Manag. Math. 21, No. 4, 363-372 (2010).
py: 2010
pu: Institute of Mathematics and its Applications, Southend on Sea, Essex;
    Oxford University Press, Oxford
la: EN
cc: 
ut: calendar time; grouped failure data; non-homogeneous Poisson process; total
    time on test
ci: 
li: doi:10.1093/imaman/dpn012
ab: Summary: Energy generation by wind turbines (WTs) has increased enormously
    during the last decade, and plans for future expansion, in particular
    large-scale offshore developments, emphasize the need to study
    reliability of WTs. Substantial data sets on occurrences of failures in
    WTs are available, but unfortunately they only provide grouped data
    with little information on individual turbines or maintenance
    activities. In this paper, we consider the use of basic non-homogeneous
    Poisson process models, in particular the power law process, to try to
    deduce from these data the change, through the years, in reliability of
    WTs and some critical subsystems. Unfortunately, it turns out that
    there are major problems that avoid clear conclusions to be drawn, as
    such the main contribution of this paper is a discussion on choice of
    the use of either calendar time or total time on test as the key time
    variable in reliability models, and some advice on future data
    collection, which will be equally important for a range of industrial
    activities.
rv: