The present application relates to the field of fault detection, in particular to a kind of fault detection method and
system of electric meter memory, comprising: obtaining the
spatial aggregation degree of each error event in event
time series after weighting, the sum of all weighted
spatial aggregation degree is normalized to obtain first index, obtain the time close degree of each error event in event
time series, the mean of all time close degree is regarded as second index, the repetition intensity of each error event in event
time series is calculated, and the maximum of repetition intensity is regarded as third index;According to first index, second index and third index, the
hard error confidence of event time series is calculated, in response to
hard error confidence is not less than threshold value, it is judged that there is
hard error, in response to hard error confidence is less than threshold value, it is judged that there is
soft error, and fault detection is completed.The present application can improve the fault detection precision of electric meter memory.