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Transient signals are universally characterized by a short duration and a broad spectrum which are often present in various phenomena such as sudden acoustic pressure changes, seismic waves, electrical discharges, etc. In order to efficiently monitor the systems where they happen, it is very important that the signals generated by transient phenomena be detected, located and characterized. This significantly helps to better understand their effects in the given application context. This paper presents new tools derived from the concept of Recurrence Plot Analysis (RPA) and applied on three real applications. Two of the applications concern the detection, localization and characterization of the electrical partial discharges (measured from photovoltaic panels and on electrical cables, respectively). Another application refers to the quantification of the water hammer effect using two acoustic sensors placed on a pipe line.

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