A rotor balancing method for a gas turbine having a rotor with a first correction plane and a second correction plane, wherein a first balancing weight is attached to the first correction plane. The method includes performing a first influence run wherein first balancing weight remains fitted for the subsequent second influence run; fitting a first calibration weight to the second correction plane using a reference influence vector; performing a second influence run; removing the first calibration weight from the rotor and calculating an influence vector of the second correction plane using a first set of vibration measurements and a second set of vibration measurements taken during the first influence run and the second influence run, respectively; and carrying out balancing of the rotor by fitting a final balancing weight to the first correction plane and a second balancing weight to the second correction plane using the calculated influence vectors.

Predictive models for diagnosing the unbalance state in an aircraft engine such as a jet engine based on engine vibrations and other known and/or determinable parameters are disclosed. Also disclosed are methods for developing the predictive model and using the model to identify aircraft engine unbalance.

A fan inspection jig includes a jig assembly having multiple spring abutment pillars for holding two sides of a fan (or a series fan) to make the fan or the series fan positioned in a suspending position. A vibration sensor is disposed in at least one of the spring abutment pillars of two sides of the fan for measuring a vibration signal of the fan in operation.

A fan inspection jig includes a jig assembly having multiple spring abutment pillars for holding two sides of a fan (or a series fan) to make the fan or the series fan positioned in a suspending position. A vibration sensor is disposed in at least one of the spring abutment pillars of two sides of the fan for measuring a vibration signal of the fan in operation.

A signal processing method and apparatus quantifies signal “character” in the frequency domain from highly complex signals in a statistically consistent manner. Particular aspects focus on spectral density analyses such as skewness spectral density (SSD), kurtosis spectral density KSD), and probability spectral density (PDSD), among other types of spectral density. Applications of the inventive technique enable not only identification of signal characteristics, but also quantification of signal behavior in an explainable way. Higher orders of spectral densities are 1) physical and statistical, 2) convergent with boundable error, 3) integrable and relatable to the time-domain, and 4) typically differentiable.

A vibration measurement sensor (3) adapted to measure the vibrations formed on a test object (O) with moving mechanical systems, at least one noise measurement sensor (4) adapted to measure sound intensity and/or particle velocity and/or sound pressure in at least one direction, i.e. on one axis, and a vibration and noise mapping system (1) that is adapted to control the vibration measurement sensor (3) and the noise measurement sensor (4), to provide the vibration and acoustic performance data of the test object (O) according to the data obtained from these units (3, 4) and to identify the areas on the test object (O) that are problematic or need to be studied further in order to improve vibration and acoustic performances thereof, and to control the operation of test objects (O) such as moving mechanical systems under different conditions.

A vibration measurement sensor (3) adapted to measure the vibrations formed on a test object (O) with moving mechanical systems, at least one noise measurement sensor (4) adapted to measure sound intensity and/or particle velocity and/or sound pressure in at least one direction, i.e. on one axis, and a vibration and noise mapping system (1) that is adapted to control the vibration measurement sensor (3) and the noise measurement sensor (4), to provide the vibration and acoustic performance data of the test object (O) according to the data obtained from these units (3, 4) and to identify the areas on the test object (O) that are problematic or need to be studied further in order to improve vibration and acoustic performances thereof, and to control the operation of test objects (O) such as moving mechanical systems under different conditions.

A vehicle wheel imbalance measurement system having a rotationally driven spindle for receiving a vehicle wheel assembly, a motor drive for rotating the spindle and wheel assembly about an axis of rotation, and a set of force transducers for measuring imbalance forces generated by the rotating wheel assembly, and in particular, to a structure within the vehicle wheel imbalance measurement system for conveying a portion of the generated imbalance forces to be measured from the wheel assembly to a fixed ground.

A pump monitoring system for use in wellbore operations can determine whether an indication of a failure is due to an actual pump issue or a failed sensor. The pump monitoring system includes a sensor on a fluid end of a pump to measure properties associated with the pump and a vibration detector. A computing device executes instructions to receive the sensor signal and the vibration signal and identify an irregularity in the sensor signal. The processor then determines whether an operational signal component is present in the vibration signal, and displays an indication that the sensor has failed when the operational signal component is not present in the vibration signal. If the operational signal component is present in the vibration signal, the irregularity is likely caused by a pump problem such as a failed valve.

A pump monitoring system for use in wellbore operations can determine whether an indication of a failure is due to an actual pump issue or a failed sensor. The pump monitoring system includes a sensor on a fluid end of a pump to measure properties associated with the pump and a vibration detector. A computing device executes instructions to receive the sensor signal and the vibration signal and identify an irregularity in the sensor signal. The processor then determines whether an operational signal component is present in the vibration signal, and displays an indication that the sensor has failed when the operational signal component is not present in the vibration signal. If the operational signal component is present in the vibration signal, the irregularity is likely caused by a pump problem such as a failed valve.