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This paper presents a useful tool to support the development of wavelet-based methods for: fault detection; power quality disturbance detection (voltage sags, transmission line energization and deenergization, capacitor bank switching, etc.); fault classification; and fault location. The disturbance features can be graphically identified by means of the voltage and current waveform analysis (phase A, B, C, and/or neutral) and their related wavelet coefficients, approximation coefficients, energies of the wavelet coefficients, and other wavelet features at various scales. The features of some actual records extracted by means of this tool and how it can be used in order to perform wavelet-based diagnostic methods are also addressed in the paper.