A monitoring device for detecting a diagnostic state of an industrial machine on the basis of vibrations associated with the industrial machine, includes at least one measurement transducer for detecting at least one first signal characterizing the vibration of the industrial machine in a time period and for detecting at least one second signal characterizing the vibration of the industrial machine in the same time period, wherein the at least one measurement transducer has at least one signal processor for evaluating the at least first signal as a first characteristic value and for evaluating the at least second signal as a second characteristic value and wherein the at least one first characteristic value and the at least one second characteristic value form a characteristic value tuple, further having a storage unit, in which different diagnostic states describing the state of the industrial machine are saved, wherein the diagnostic states are determined as a function of the characteristic value tuple, and a predefined scalar range is saved with predetermined different fixed scalar values, which define respectively an existing limit potential, wherein a respective limit potential characterizes a change in the diagnostic state, and wherein between adjacent limit potentials a diagnostic partition is formed and wherein different scalar values from the scalar range are assigned to the different diagnostic partitions and wherein different respective diagnostic partitions represent different diagnostic states of the industrial machine, and wherein the monitoring device has at least one interpolation function for mapping the characteristic value tuple on a common, unique, time-dependent scalar value in the predefined scalar range, so that by way of the time-dependent scalar value a time monitoring of the diagnostic state of the industrial machine is achieved.

The present disclosure provides an Anderon meter for cryogenic environment including a housing; a control arm installed on an inner circumference of the housing rotatably relative to the housing, and including a pressing portion; and a clamp including a contact portion on a side and an assembly portion on an opposite side, wherein the contact portion is in contact with the pressing portion so that the contact portion is pressed by the pressing portion, and the assembly portion is coupled to an inner circumference of the bearing by interference fit, wherein the pressing portion presses the contact portion by the control of an amount of relative rotation of the control arm and the assembly portion is coupled to the inner circumference of the bearing by interference fit to determine friction characteristics between the inner race of the bearing and the assembly portion.

The present disclosure provides an Anderon meter for cryogenic environment including a housing; a control arm installed on an inner circumference of the housing rotatably relative to the housing, and including a pressing portion; and a clamp including a contact portion on a side and an assembly portion on an opposite side, wherein the contact portion is in contact with the pressing portion so that the contact portion is pressed by the pressing portion, and the assembly portion is coupled to an inner circumference of the bearing by interference fit, wherein the pressing portion presses the contact portion by the control of an amount of relative rotation of the control arm and the assembly portion is coupled to the inner circumference of the bearing by interference fit to determine friction characteristics between the inner race of the bearing and the assembly portion.

A method for performing bearing defect auto-detection provides an algorithm for processing condition monitoring data including vibration harmonics of at least one bearing coupled to a rotatable shaft, the bearing having an inner and an outer ring. The algorithm is used to confirm with high degree of confidence that a bearing defect is present or not.

A method for performing bearing defect auto-detection provides an algorithm for processing condition monitoring data including vibration harmonics of at least one bearing coupled to a rotatable shaft, the bearing having an inner and an outer ring. The algorithm is used to confirm with high degree of confidence that a bearing defect is present or not.

Condition monitoring device including a condition monitoring sensor configured to acquire vibration signals produced by the system and an integrated power supply having an energy harvester for providing power energy to the condition monitoring sensor and having an electromagnetic coil and a permanent magnet. The integrated power supply includes a system power switch between the energy harvester and the condition monitoring sensor and configured to be switched between at least a first high impedance position providing power energy of the energy harvester to the sensor and a second low impedance position where no power is transmitted to the sensor. Also, a system for restricting movement of the energy harvester configured to be connected across the electromagnetic coil in the low impedance passive position of the system power switch.

A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

An information terminal is configured to extract a predetermined frequency band from a waveform of a signal of a machine component detected by a vibration sensor, to compare an analyzed frequency component and a damaging frequency resulting from a damage of the machine component, and to diagnose abnormality of the machine component. The information terminal includes a database in which the damaging frequency resulting from the damage of the machine component is preserved as a converted damaging frequency obtained by converting the damaging frequency on a basis of a predetermined rotating speed of the machine component. The damaging frequency is provided by calculating the converted damaging frequency in the database by using an actual rotating speed of the machine component. Accordingly, it is possible to keep specifications of a machine component confidential without preserving the specifications of the machine component.

An information terminal is configured to extract a predetermined frequency band from a waveform of a signal of a machine component detected by a vibration sensor, to compare an analyzed frequency component and a damaging frequency resulting from a damage of the machine component, and to diagnose abnormality of the machine component. The information terminal includes a database in which the damaging frequency resulting from the damage of the machine component is preserved as a converted damaging frequency obtained by converting the damaging frequency on a basis of a predetermined rotating speed of the machine component. The damaging frequency is provided by calculating the converted damaging frequency in the database by using an actual rotating speed of the machine component. Accordingly, it is possible to keep specifications of a machine component confidential without preserving the specifications of the machine component.

A noise canceler includes a signal obtaining unit that obtains an observation signal obtained by sampling vibration of an apparatus; a signal delay unit that obtains a delay signal by delaying the observation signal obtained by the signal obtaining unit; and a Kalman filter processing unit that applies, to the observation signal and the delay signal, a Kalman filter that adapts a filter coefficient so as to reduce a residual signal between the observation signal and an estimated signal estimated based on the observation signal and the delay signal by an adaptive filter that incorporates the Kalman filter, and outputs the residual signal.