A system for measuring sound levels is provided. The system comprises a processor, a memory, and an application stored in the memory that when executed on the processor receives sound levels recorded by each of a plurality of sound sensors located in a coverage area. The application also samples noise levels from the received sound levels at least one location within the coverage area. The application also derives values based at least on the samples and on estimates of sound attenuation at the at least one location. The application also creates a heat map based at least on the derived values, the heat map representing at least noise levels experienced within the coverage area.

Initiating a communication group of devices using device vibration includes encoding a message into a vibration signal using an encoder in a master device, the message including a connection request. A vibration pattern is emitted using a vibration motor by controlling the vibration motor to vibrate with a pattern corresponding to modulations of the vibration signal to send the message through a medium in contact with the master device. A response vibration pattern is received from responding devices using a sensor, the response vibration pattern carrying a response message. The response vibration pattern is decoded with a decoder of the master device to extract the response message from the response vibration pattern. A communication group is established at a host according to the response message for communication between the master device and the responding devices.

A device includes a gas-measuring unit and a sound-measuring unit. The gas-measuring unit has a gas sensor detecting a first measured variable, and a gas analysis module determining a gas concentration from the first variable and comparing the concentration with a first threshold value, to output a first signal based thereon. The sound-measuring unit has a sound detection unit detecting a second measured variable, and a sound analysis module determining a status variable, from the second variable, indicating a noise exposure, and comparing the status variable with a second threshold value to determine a first parameter indicating a current sound level and/or determining a second parameter indicating a sound exposure accumulated over a time interval. The sound analysis module may determine the status variable, the first parameter and/or the second parameter as a function of the comparison of the gas concentration and the first threshold value.

Systems and methods are provided for selectively utilizing ultrasound data to quantify a part being scanned. One embodiment is a system that includes an ultrasonic wave generator configured to induce ultrasonic waves at locations along a part being scanned, and a controller. The controller is configured to operate the ultrasonic wave generator to collect data points that each indicate amplitude data and time-of-flight data of an ultrasonic wave at the part, to calculate a standard deviation of the time-of-flight data of the data points (.sub.tof), to utilize the amplitude data to quantify the part if .sub.tof is less than a threshold value, and to flag the data points in memory as including noise if .sub.tof is greater than the threshold value.

Systems and methods are provided for selectively utilizing ultrasound data to quantify a part being scanned. One embodiment is a system that includes an ultrasonic wave generator configured to induce ultrasonic waves at locations along a part being scanned, and a controller. The controller is configured to operate the ultrasonic wave generator to collect data points that each indicate amplitude data and time-of-flight data of an ultrasonic wave at the part, to calculate a standard deviation of the time-of-flight data of the data points (.sub.tof), to utilize the amplitude data to quantify the part if .sub.tof is less than a threshold value, and to flag the data points in memory as including noise if .sub.tof is greater than the threshold value.

In an embodiment, one or more computer-readable storage medium comprising a plurality of instructions to cause an apparatus, in response to execution by one or more processors of the apparatus, to receive sounds emanating from one or more motors included in an unmanned aerial vehicle (UAV) during operation of the one or more motors; predict a number of operational cycles remaining before the one or more motors is to fail based on analysis of the sounds; and, based on the determination of the number of operational cycles remaining, restrict the UAV from normal use. The one or more motors comprises a vertical or horizontal propulsion motor of the UAV.

An inspection device includes a first data storage unit configured to store a first data which is time series according to a state of an inspection object, a second data generation unit configured to generate second data, which is a spectrogram including a first frequency component, a time component, and an amplitude component by performing short-time Fourier transform on the first data, a third data generation unit configured to generate third data including the first frequency component, a second frequency component, and the amplitude component by performing Fourier transform on time-amplitude data for each first frequency component in the second data, respectively, and a determination unit configured to determine the state of the inspection object based on the third data.

First, the pressure of oil within an oil passage in a control valve device is measured. Then, an amplitude and period of pressure fluctuations are detected on the basis of an obtained measurement result, and an oil vibration state or an oil non-vibration state is diagnosed. In this case, when the amplitude is greater than a reference amplitude value and when the period is less than a reference period value, the oil vibration state is diagnosed. Further, a duration time of the oil vibration state is determined on the basis of a diagnostic result. Then, when the oil vibration state continues for a period greater than or equal to a reference time, warning information is output. In this way, warning information is output stepwise in accordance with occurrence or continuation of oil vibration.

First, the pressure of oil within an oil passage in a control valve device is measured. Then, an amplitude and period of pressure fluctuations are detected on the basis of an obtained measurement result, and an oil vibration state or an oil non-vibration state is diagnosed. In this case, when the amplitude is greater than a reference amplitude value and when the period is less than a reference period value, the oil vibration state is diagnosed. Further, a duration time of the oil vibration state is determined on the basis of a diagnostic result. Then, when the oil vibration state continues for a period greater than or equal to a reference time, warning information is output. In this way, warning information is output stepwise in accordance with occurrence or continuation of oil vibration.

A mechanical failure detection system for mechanical equipment that has an acoustic capture device disposed in operative proximity to the mechanical equipment in order to acquire an operative state audio signal from the mechanical equipment, and a signal processor structured to processes the operative state audio signal and isolate a constituent signal from the operative state audio signal. The system further includes an operation processor that identifies operating parameters of the mechanical equipment that substantially correspond with the operative state audio signal an which facilitate analysis by a test processor that maintains base line audio signals and corresponding base line operational parameters so that it can compare them to the constituent signal and identify correlations between the constituent signal and the base line audio signal indicative of an operational state of the mechanical equipment such as a failure state.