Some systems include an acoustic sensor array configured to receive acoustic signals, an electromagnetic imaging tool configured to receive electromagnetic radiation, a user interface, a display, and a processor. The processor can receive electromagnetic data from the electromagnetic imaging tool and acoustic data from the acoustic sensor array. The processor can generate acoustic image data of the scene based on the received acoustic data, generate a display image comprising combined acoustic image data and electromagnetic image data, and present the display image on the display. The processor can receive an annotation input from the user interface and update the display image based on the received annotation input. The processor can be configured to determine one or more acoustic parameters associated with the received acoustic signal and determine a criticality associated with the acoustic signal. A user can annotated the display image with determined criticality information or other determined information.

Systems and methods directed toward acoustic analysis can include a plurality of acoustic sensor arrays, each including a plurality of acoustic sensor elements, and a processor in communication with the plurality of acoustic sensor arrays. The processor can be configured to select one or more of the plurality of acoustic sensor arrays based on one or more input parameters, and generate acoustic image data representative of an acoustic scene based on received acoustic data from the selected one or more acoustic sensor arrays. Such input parameters can include distance information and/or frequency information. Different acoustic sensor arrays can share acoustic sensor elements in common or can be entirely separate from one another. Acoustic image data can be combined with electromagnetic image data from an electromagnetic imaging tool to generate a display image.

This disclosure relates generally to method and system for unobtrusive spatial localization and detection of impact induced soundwaves. Runtime localization of surface wear zones in industrial machines has been a daunting problem in the domain of predictive maintenance. The method disclosed provides spatial localization of impacts soundwaves generated to locate the wearzones. The method processes the sound signal from the microphone array occurred surface of target of interest of the machinery. The sound signal is processed to identify one or more impact hotspots on the target surface of the machinery by searching one or more peaks. Finally, exact location of occurred impact sound from the one or more impact hotspots is localized and is projected on the machinery.

A diagnostic method of electrical equipment which includes a processing unit, an internal microphone, and electrical components other than microphones or speakers, the diagnostic method including the steps of acquiring a received audio signal produced from an ambient sound signal, by the at least one internal microphone or by the at least one external microphone, producing monitoring parameters from the received audio signal, which are representative of an interfering sound signal comprised in the ambient sound signal and emitted by at least one of the electrical components, and detecting a sound anomaly resulting from a failure of at least one electrical component of the electrical equipment from the monitoring parameters.

A handheld acoustic imaging tool and method of imaging acoustic signals includes receiving acoustic signals from a scene, identifying a subset of the acoustic signals based on a predetermined condition of an acoustic parameter of the acoustic signals, and generating a display image using electromagnetic image data representative of electromagnetic radiation from the scene. The display image visually indicates a location in the scene corresponding to the subset of the acoustic signals. Generating the display image may further include using acoustic image data representative of the subset of the acoustic signals, wherein the electromagnetic image data and the acoustic image data are shown together in the display image. In some cases, the acoustic image data in the display image may be palettized according to the acoustic parameter, for example according to an amount, an amount of change, or a rate of change, of the acoustic parameter.

Disclosed is an AI acoustic camera including an acoustic source localizing means unit of generating position-specific acoustic level data by determining a position of an acoustic source, an AI acoustic analysis unit of recognizing a type of acoustic source estimated as an abnormal acoustic source by extracting a regeneration time domain acoustic signal for the acoustic source with the determined position and AI-learning and recognizing an acoustic feature image of the extracted time domain acoustic signal, an object recognition unit of recognizing a type of object positioned in the acoustic source through image analysis of an area recognized as that the acoustic source is positioned, and a determination unit of determining the acoustic source as a true acoustic source when the type of acoustic source and the type of object have commonality.

Some systems include an electromagnetic imaging tool configured to receive electromagnetic radiation, a communication interface, a processor in communication with the electromagnetic imaging tool and the communication interface, and a housing. Systems can include a first sensor head having a first plurality of acoustic sensor elements arranged in a first acoustic sensor array. The communication interface can provide communication between the processor and the sensor head via wired or wireless communication. The communication interface can comprise a docking port in communication with the processor and configured to removably receive a corresponding docking mechanism of the first sensor head. Some systems may include a second sensor head having a second plurality of acoustic sensor elements. The second sensor head may be interchangeably connectable to the communication interface and/or the first sensor head.