Abstract: An apparatus for locating a source of acoustic emission in a material comprises four spaced transducers coupled to the material. Each transducer produces an output signal corresponding to a detected acoustic emission activity, and each output signal is amplified, rectified and enveloped before being supplied to a processor. Artificially induced acoustic emission events, of known location, are generated in the material. The processor measures the times taken for each output signal corresponding to artificially induced acoustic emission events, to exceed two predetermined amplitudes from a datum time. A neural network analyzes the measured times to exceed the predetermined amplitudes for the output signals corresponding to the artificially induced acoustic emission events and infers the mathematical relationship between values of time and location of acoustic emission event.

Abstract: An apparatus for processing electrical signals corresponding to acoustic emissions produced in a machine or process comprises a transducer acoustically coupled to the machine or process, which detects the acoustic emissions and converts them into an output signal. The output signal is amplified by an amplifier, rectified and enveloped by an enveloper having a short time constant to produce an electrical signal. An enveloper having a long time constant, measures the mean level of the electrical signal. A DC component remover removes the DC component from the electrical signal and an enveloper, having a long time constant, measures the mean level of the rectified AC component of the electrical signal. A processor having a low sampling rate, measures a power of the ratio between the mean level of the rectified AC component of the electrical signal and the mean level of the electrical signal.