To provide a characteristic evaluation device that can properly evaluate a characteristic of a shaft coupling while considering a delay in a response of a motor, a characteristic evaluation device of a shaft coupling includes: a motor system including a drive motor, a rotation angle sensor configured to acquire a rotation angle of a drive shaft, and a motor control unit configured to control the drive motor based on a torque command; a rotational load connected to a driven shaft; and a processor configured to output the torque command and calculate a frequency response of a gain of an amplitude of an angular velocity ω of the rotation angle, wherein the processor is configured to calculate a characteristic of the shaft coupling based on a response characteristic of the motor system and the frequency response.

To provide a characteristic evaluation device that can properly evaluate a characteristic of a shaft coupling while considering a delay in a response of a motor, a characteristic evaluation device of a shaft coupling includes: a motor system including a drive motor, a rotation angle sensor configured to acquire a rotation angle of a drive shaft, and a motor control unit configured to control the drive motor based on a torque command; a rotational load connected to a driven shaft; and a processor configured to output the torque command and calculate a frequency response of a gain of an amplitude of an angular velocity ω of the rotation angle, wherein the processor is configured to calculate a characteristic of the shaft coupling based on a response characteristic of the motor system and the frequency response.

The present invention relates to a vibration and noise mapping system and method, which enables to generate the vibration and noise maps of the vibration and noise sources, and to determine areas, the vibration and acoustic performance of which are needed to be improved, and/or the problematic areas quickly.

The present invention relates to a vibration and noise mapping system and method, which enables to generate the vibration and noise maps of the vibration and noise sources, and to determine areas, the vibration and acoustic performance of which are needed to be improved, and/or the problematic areas quickly.

Example implementations described herein are directed to systems and methods for extracting signal in the presence of noise for industrial IoT systems. Through the example implementations described herein, the high-frequency band signal of the sensor output can be maintained despite data compression, while also retaining information regarding the condition of the machine. Example implementations can also generate compressed data pairs to synchronized downsampled envelopes and spectrum data.

Example implementations described herein are directed to systems and methods for extracting signal in the presence of noise for industrial IoT systems. Through the example implementations described herein, the high-frequency band signal of the sensor output can be maintained despite data compression, while also retaining information regarding the condition of the machine. Example implementations can also generate compressed data pairs to synchronized downsampled envelopes and spectrum data.

A system and method for detecting passage of a pipeline pig, the system and method including a passive impulse detector (10) having a housing (13); a non-intrusive connection (15) of the housing to an exterior wall (17) of a pipeline (P), at least one vibration sensor (11) housed by the housing, and signal processing (23) including at least one band pass filter (27) configured to receive data collected by the vibration sensor, the vibration sensor and band pass filter configured to monitor frequencies in a predetermined range indicating a series of impulses caused by start-and-stop movement of the pipeline pig. The selected frequencies should be those more easily detectable above the baseline (signature or natural resonance) frequency of the section of pipeline being monitored. In some embodiments, the selected frequencies are lower frequencies. No portion of the passive pipeline pig signal intrudes into an interior of the pipeline.

Spectral machine condition energy peaks are graphically represented in a spectral plot using color coding, different line types, and/or filtering. This allows visual differentiation of spectral peaks associated with various fault frequency families from one another, whereby a machine condition analyst using computer-based analysis software can easily see each family of spectral peaks individually, without all the other spectral peaks, or in combinations of families that are relevant to a machine fault under investigation. In addition to current spectral data, the analyst can also view a historical trend of related scalar parameters plotted in conjunction with current spectral data, wherein the spectral data plot is synchronized with a time-based cursor on the trend plot.

Spectral machine condition energy peaks are graphically represented in a spectral plot using color coding, different line types, and/or filtering. This allows visual differentiation of spectral peaks associated with various fault frequency families from one another, whereby a machine condition analyst using computer-based analysis software can easily see each family of spectral peaks individually, without all the other spectral peaks, or in combinations of families that are relevant to a machine fault under investigation. In addition to current spectral data, the analyst can also view a historical trend of related scalar parameters plotted in conjunction with current spectral data, wherein the spectral data plot is synchronized with a time-based cursor on the trend plot.

A sensor package for sensing vibration is described. The sensor package includes a carrier and a piezoelectric module coupled to the carrier. A wireless vibration sensor is further coupled to the carrier at a distance from the piezoelectric module. The sensor package further includes one or more conductive paths coupling the piezoelectric module to the wireless vibration sensor. The sensor package may be disposed on a bearing housing of a rail vehicle. The sensor package may also be utilized in marine, land and aviation applications.