An acoustic detection system and method and associated kinetic energy harvester is disclosed. The acoustic detection system comprises a vibration-generating object, a kinetic-energy harvester, and an acoustic sensor. The kinetic-energy harvester is embedded within a first location of the vibration-generation object and is configured to wirelessly transmit electrical power to the acoustic sensor, which is embedded within a second location of the vibration-generating object. The acoustic sensor is configured to receive the electrical power, detect acoustic signals, and convert the detected acoustic signals into acoustic data. The kinetic energy harvester may be an electromagnetic harvester that comprises a magnet array and a coil array comprising at least one conductive coil. By inducing a current in the at least one conductive coil through the relative motion between the magnet array and the coil array, the kinetic-energy harvester produces electrical power.

An acoustic detection system and method and associated kinetic energy harvester is disclosed. The acoustic detection system comprises a vibration-generating object, a kinetic-energy harvester, and an acoustic sensor. The kinetic-energy harvester is embedded within a first location of the vibration-generation object and is configured to wirelessly transmit electrical power to the acoustic sensor, which is embedded within a second location of the vibration-generating object. The acoustic sensor is configured to receive the electrical power, detect acoustic signals, and convert the detected acoustic signals into acoustic data. The kinetic energy harvester may be an electromagnetic harvester that comprises a magnet array and a coil array comprising at least one conductive coil. By inducing a current in the at least one conductive coil through the relative motion between the magnet array and the coil array, the kinetic-energy harvester produces electrical power.

Methods and apparatus are disclosed for assessment of microstructural defects in a large structure. Third order elastic constants engender nonlinear excitation of acoustic modes particularly at points of local stiffness changes or stress concentration such as ends of microcracks. A broadband multimode acoustic signal is transmitted through an interrogation region from a first transducer, whereby a second transducer receives an acoustic signal containing linear and nonlinear components. Linear terms are canceled, and a magnitude of the nonlinear acoustic response is measured using time-resolved spectral analysis, to determine a coefficient for acoustic nonlinearity of the interrogation region that serves as a qualitative or quantitative representation of microcrack damage. Broadband signals avoid mode-specific effects such as shadowing or phase mismatch. Damage location can be identified by region or time-of-flight. Portable or dedicated embodiments can be deployed on a wide range of structures of arbitrary shape.

Methods and apparatus are disclosed for assessment of microstructural defects in a large structure. Third order elastic constants engender nonlinear excitation of acoustic modes particularly at points of local stiffness changes or stress concentration such as ends of microcracks. A broadband multimode acoustic signal is transmitted through an interrogation region from a first transducer, whereby a second transducer receives an acoustic signal containing linear and nonlinear components. Linear terms are canceled, and a magnitude of the nonlinear acoustic response is measured using time-resolved spectral analysis, to determine a coefficient for acoustic nonlinearity of the interrogation region that serves as a qualitative or quantitative representation of microcrack damage. Broadband signals avoid mode-specific effects such as shadowing or phase mismatch. Damage location can be identified by region or time-of-flight. Portable or dedicated embodiments can be deployed on a wide range of structures of arbitrary shape.

A method of monitoring a rotating machine configured for energy transfer having a plurality of subsystems, each subsystem includes one cylinder. In the method a measurement signal of a vibration of the rotating machine is obtained and the vibration measurement signal (2) is sampled into a plurality of vibration subsignals (21, 22, 23, 24, 25), each vibration subsignal (21, 22, 23, 24, 25) corresponding to one full revolution of the rotating machine. A reference vibration subsignal (20) is determined based on an average of the plurality of vibration subsignals (21, 22, 23, 24, 25). The reference vibration subsignal (20) is sampled into a plurality of signal snippets (201, 202, 203, 204, 205), each signal snippet (201, 202, 203, 204, 205) assigned to one subsystem of the rotating machine. A cross-correlation analysis of the plurality of signal snippets (201, 202, 203, 204, 205) is performed for identifying a potential fault state of the rotating machine. The disclosure further discloses a rotating machine configured for energy transfer having a plurality of subsystems, each subsystem including one cylinder, is provided, wherein the rotating machine further includes a control unit adapted to perform a method according the disclosure.

A method of monitoring a rotating machine configured for energy transfer having a plurality of subsystems, each subsystem includes one cylinder. In the method a measurement signal of a vibration of the rotating machine is obtained and the vibration measurement signal (2) is sampled into a plurality of vibration subsignals (21, 22, 23, 24, 25), each vibration subsignal (21, 22, 23, 24, 25) corresponding to one full revolution of the rotating machine. A reference vibration subsignal (20) is determined based on an average of the plurality of vibration subsignals (21, 22, 23, 24, 25). The reference vibration subsignal (20) is sampled into a plurality of signal snippets (201, 202, 203, 204, 205), each signal snippet (201, 202, 203, 204, 205) assigned to one subsystem of the rotating machine. A cross-correlation analysis of the plurality of signal snippets (201, 202, 203, 204, 205) is performed for identifying a potential fault state of the rotating machine. The disclosure further discloses a rotating machine configured for energy transfer having a plurality of subsystems, each subsystem including one cylinder, is provided, wherein the rotating machine further includes a control unit adapted to perform a method according the disclosure.

A device, system, and method are provided for providing vibration data for rotating machinery. A sensor device is provided as a one-piece unit that is mechanically mounted to a pump. The sensor includes a vibration sensor, a processor, a wireless communications interface for exchanging data with a user device, and an internal battery. The processor is configured to receive a measurement request from the user device via the wireless communications interface. In response, the processor is further configured to configure the vibration sensor, receive data samples for multiple axes from the vibration sensor, and calculate a component velocity root mean square (vRMS) value, from the data samples, for each of the multiple axes. The processor may combine the component vRMS values into a sample vRMS value, and send a final vRMS value, based on the sample vRMS value, to the user device via the wireless communication interface.

A device, system, and method are provided for providing vibration data for rotating machinery. A sensor device is provided as a one-piece unit that is mechanically mounted to a pump. The sensor includes a vibration sensor, a processor, a wireless communications interface for exchanging data with a user device, and an internal battery. The processor is configured to receive a measurement request from the user device via the wireless communications interface. In response, the processor is further configured to configure the vibration sensor, receive data samples for multiple axes from the vibration sensor, and calculate a component velocity root mean square (vRMS) value, from the data samples, for each of the multiple axes. The processor may combine the component vRMS values into a sample vRMS value, and send a final vRMS value, based on the sample vRMS value, to the user device via the wireless communication interface.

A device, system, and method are provided for providing vibration data for rotating machinery. A sensor device is provided as a one-piece unit that is mechanically mounted to a pump. The sensor includes a vibration sensor, a processor, a wireless communications interface for exchanging data with a user device, and an internal battery. The processor is configured to receive a measurement request from the user device via the wireless communications interface. In response, the processor is further configured to configure the vibration sensor, receive data samples for multiple axes from the vibration sensor, and calculate a component velocity root mean square (vRMS) value, from the data samples, for each of the multiple axes. The processor may combine the component vRMS values into a sample vRMS value, and send a final vRMS value, based on the sample vRMS value, to the user device via the wireless communication interface.

A device, system, and method are provided for providing vibration data for rotating machinery. A sensor device is provided as a one-piece unit that is mechanically mounted to a pump. The sensor includes a vibration sensor, a processor, a wireless communications interface for exchanging data with a user device, and an internal battery. The processor is configured to receive a measurement request from the user device via the wireless communications interface. In response, the processor is further configured to configure the vibration sensor, receive data samples for multiple axes from the vibration sensor, and calculate a component velocity root mean square (vRMS) value, from the data samples, for each of the multiple axes. The processor may combine the component vRMS values into a sample vRMS value, and send a final vRMS value, based on the sample vRMS value, to the user device via the wireless communication interface.