Maintenance of power system components is fundamental to ensure high quality operations and avoid malfunctioning. Given the crucial role of the circuit breakers (CBs) in ensuring quality of power systems operation, this paper presents work on implementation of an automatic retrieval and processing of COMTRADE recordings with the aim to compute quantities relevant for maintenance and preventive maintenance of the CBs. For this purpose, a Service Oriented Architecture (SOA) implemented as an Enterprise Service Bus (ESB) is developed on top of the COMTRADE repository system. This architecture is then connected with two applications able to automatically retrieve, decode and use the recordings of the fault to obtain specific indicators on the health of some parts of the CBs. The approach filters data and utilises the Wavelet Transform analysis to identify anomalies in the COMTRADE recordings. Based on this analysis, it is possible to compute the duration of the fault and assess its impact on CBs. Even if lack of common metadata for fault recordings prevents generalization on the topic and excludes the possibility of applying machine learning techniques, the project shows that the resulting layered architecture composed of power system, SOA and applications, allows to automatically obtain indicators on the state of the CBs' components. Consequently, decision making for maintenance of the circuit breakers is enhanced. Moreover, the flexible nature of the implemented structure, utilising a Service Oriented Architecture, allows for future extensions and improvements applicable also for wider scenarios.