An aging structure needs to be investigated periodically to prevent catastrophic failure. Crack development is one of the major concern for a structure in service. Early crack detection prevents catastrophic failure and can provide safety. When crack grows, it releases energy as acoustic emission (AE) waveform. AE waveform can be used to diagnose the state of the structure. Here a novel method is proposed to extract crack growth information from AE waveform using energy approach.