A method of identifying a fault in a system of gears in a wind turbine is provided. The method determines a first centre harmonic frequency amplitude according to vibrations of the system of gears and determines a plurality of sideband amplitudes of the first centre harmonic frequency amplitude. Further, the method calculates an average sideband amplitude from the plurality of sideband amplitudes and determines a value indicative of damage incurred by the system of gears based upon the first centre harmonic frequency amplitude and the average sideband amplitude. The centre harmonic frequencies may be harmonic tooth mesh frequencies and the value indicative of damage may be a ratio of the centre harmonic frequency amplitude and a difference between the centre harmonic frequency amplitude and the associated average sideband amplitude or vice versa. The method may analyse the value of any ratio obtained and use the ratio values to identify, and monitor the progress of, a fault.

A method of identifying a fault in a system of gears in a wind turbine is provided. The method determines a first centre harmonic frequency amplitude according to vibrations of the system of gears and determines a plurality of sideband amplitudes of the first centre harmonic frequency amplitude. Further, the method calculates an average sideband amplitude from the plurality of sideband amplitudes and determines a value indicative of damage incurred by the system of gears based upon the first centre harmonic frequency amplitude and the average sideband amplitude. The centre harmonic frequencies may be harmonic tooth mesh frequencies and the value indicative of damage may be a ratio of the centre harmonic frequency amplitude and a difference between the centre harmonic frequency amplitude and the associated average sideband amplitude or vice versa. The method may analyse the value of any ratio obtained and use the ratio values to identify, and monitor the progress of, a fault.

A process for thinning scalar machine vibration data can reduce the amount of data storage required to store the data by several orders of magnitude, without losing any important machine diagnostic vibration information. The process assumes that because each scalar vibration measurement value has its own range of values, there is a unique delta change in value that does not significantly impact machine diagnostic information provided by the data. Some embodiments provide a method to automatically evaluate the delta change in value. The process can be used to thin data that have already been stored in a database, and also to thin the data in real-time during data collection. Data storage structures for storing the thinned scalar values and processes for displaying a trend plot to indicate where the scalar data have been thinned are also described.

A process for thinning scalar machine vibration data can reduce the amount of data storage required to store the data by several orders of magnitude, without losing any important machine diagnostic vibration information. The process assumes that because each scalar vibration measurement value has its own range of values, there is a unique delta change in value that does not significantly impact machine diagnostic information provided by the data. Some embodiments provide a method to automatically evaluate the delta change in value. The process can be used to thin data that have already been stored in a database, and also to thin the data in real-time during data collection. Data storage structures for storing the thinned scalar values and processes for displaying a trend plot to indicate where the scalar data have been thinned are also described.

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.

In one example embodiment, a fluid induced instability detection system is provided that monitors various vibration characteristics of a turbomachine, collects vibration data in real-time, and uses the vibration data to detect and analyze changes in various operating parameters such as vibration, speed, and loading conditions, and to provide an indication of a vibration anomaly and/or potential operational risk in one or more components of the turbomachine. The vibration data can be particularly associated with certain components that are directly or indirectly impacted by a modification in process fluid flow characteristics or lubrication oil flow characteristics in the turbomachine due to various reasons such as process fluid flow disturbances, lubricating oil flow disturbances, and/or a change in turbomachine operational parameters. The fluid induced instability detection system detects abnormalities in the vibration data and provides an indication of one or more potential faults in the turbomachine.

In one example embodiment, a fluid induced instability detection system is provided that monitors various vibration characteristics of a turbomachine, collects vibration data in real-time, and uses the vibration data to detect and analyze changes in various operating parameters such as vibration, speed, and loading conditions, and to provide an indication of a vibration anomaly and/or potential operational risk in one or more components of the turbomachine. The vibration data can be particularly associated with certain components that are directly or indirectly impacted by a modification in process fluid flow characteristics or lubrication oil flow characteristics in the turbomachine due to various reasons such as process fluid flow disturbances, lubricating oil flow disturbances, and/or a change in turbomachine operational parameters. The fluid induced instability detection system detects abnormalities in the vibration data and provides an indication of one or more potential faults in the turbomachine.

Embodiments of the present disclosure include a method including receiving first impact data. The method includes receiving second impact data. The method includes applying a first filter to both the first impact data and the second impact data. The method includes applying a second filter to both the first impact data and the second impact data. Filtering includes time and frequency based discriminating filter to isolate specific signatures that representatively indicate impact signatures generated by the sand on the interrogator. The method includes comparing the first impact data and the second impact data for corresponding signatures. The method includes identifying a corresponding signature in both the first impact data and the second impact data. The method includes determining the corresponding signature meets a threshold criterion. The method includes determining one or more particulate properties based at least in part on the corresponding peak.

A method and system to detect a plurality of device activities of a device using a device activity monitoring system has been described. The device monitoring activity system includes a vibration sensor in electronic communication with the device to detect vibration of the device. An interrupt counter in communication with the vibration sensor to measure a count of vibration detected by the vibration sensor within a pre-determined period. A storage unit in electronic communication with the interrupt counter to store the count of vibration. A controller in electronic communication with the vibration sensor and the storage unit to determine a mapping between the measured count and one of the plurality of device activities. A transmitter in electronic communication with the controller to autonomously transmit an output signal when the controller determines the mapped one of the plurality of device activities.

A method and system to detect a plurality of device activities of a device using a device activity monitoring system has been described. The device monitoring activity system includes a vibration sensor in electronic communication with the device to detect vibration of the device. An interrupt counter in communication with the vibration sensor to measure a count of vibration detected by the vibration sensor within a pre-determined period. A storage unit in electronic communication with the interrupt counter to store the count of vibration. A controller in electronic communication with the vibration sensor and the storage unit to determine a mapping between the measured count and one of the plurality of device activities. A transmitter in electronic communication with the controller to autonomously transmit an output signal when the controller determines the mapped one of the plurality of device activities.