A method of analyzing a vibratory signal derived from rotation of at least one moving part belonging to a rotary mechanism forming all or part of a drive train for transmitting drive torque, the rotary mechanism being fitted to an aircraft and the method comprising at least one first measurement step including measuring vibration in at least one direction and generating a vibratory signal representative of the operation of the rotary mechanism as a function of time, the first measurement step being performed by means of at least one vibration sensor; and at least one second measurement step including measuring an angular position of the moving part, the moving part having at least one degree of freedom to move in rotation about a respective axis of rotation Z. Such an analysis method makes it possible to determine at least one usable range for the vibratory signal.

A MEMS scanning device may include: a movable MEMS mirror configured to pivot about at least one axis; at least one actuator operable to rotate the MEMS mirror about the at least one axis, each actuator out of the at least one actuator operable to bend upon actuation to move the MEMS mirror; and at least one flexible interconnect element coupled between the at least one actuator and the MEMS mirror for transferring a pulling force of the bending of the at least one actuator to the MEMS mirror. Each flexible interconnect element out of the at least one interconnect element may be an elongated structure comprising at least two turns at opposing directions, each turn greater than 120°.

A MEMS scanning device may include: a movable MEMS mirror configured to pivot about at least one axis; at least one actuator operable to rotate the MEMS mirror about the at least one axis, each actuator out of the at least one actuator operable to bend upon actuation to move the MEMS mirror; and at least one flexible interconnect element coupled between the at least one actuator and the MEMS mirror for transferring a pulling force of the bending of the at least one actuator to the MEMS mirror. Each flexible interconnect element out of the at least one interconnect element may be an elongated structure comprising at least two turns at opposing directions, each turn greater than 120°.

An object of the present invention is to provide a method of a practical level for performing sensor fusion of multiple vibration sensors such as a seismometer, and in an example, to extend a dynamic range of a high-sensitivity geophone by sensor fusion of the high-sensitivity geophone and a low-sensitivity acceleration geophone. A state related to the high-sensitivity geophone is estimated by capturing, in a Kalman filter, an acceleration record from the low-sensitivity acceleration geophone and a velocity record, or a displacement record, and an acceleration record of the high-sensitivity geophone, and estimating and calculating them as the linear Kalman filter problem with a control input. The high-sensitivity geophone is an actual device, but the state can be estimated using a sensor value of the low-sensitivity acceleration geophone even when the record is saturated. This extends the dynamic range of the high-sensitivity geophone.

An object of the present invention is to provide a method of a practical level for performing sensor fusion of multiple vibration sensors such as a seismometer, and in an example, to extend a dynamic range of a high-sensitivity geophone by sensor fusion of the high-sensitivity geophone and a low-sensitivity acceleration geophone. A state related to the high-sensitivity geophone is estimated by capturing, in a Kalman filter, an acceleration record from the low-sensitivity acceleration geophone and a velocity record, or a displacement record, and an acceleration record of the high-sensitivity geophone, and estimating and calculating them as the linear Kalman filter problem with a control input. The high-sensitivity geophone is an actual device, but the state can be estimated using a sensor value of the low-sensitivity acceleration geophone even when the record is saturated. This extends the dynamic range of the high-sensitivity geophone.

Apparatus and associated methods relate to a vibrational sensing system (VSS) including an accelerometer and a data processor, which determines an “operational state” of a mechanical drive unit, the processor further employing the “operational state” to gate learning of long-term vibrational data to exclude collection of non-operational data, the long-term data collected to calculate alarm thresholds. For example, vibrations from a target motor are sensed by a coupled accelerometer. Vibrational data from the accelerometer is fed into a data processor which determines the operational state of the motor. The operational state (e.g., on/off indication) may gate data collection such that data is only acquired during on-time, which may advantageously create accurate baselines from which alarm thresholds may be generated, and nuisance alarms may be avoided.

Rotating machine vibration monitoring process for detecting degradations within a rotating machine providing an output axle fitted with magnetic bearings, the magnetic bearings having at least a position sensor and at least a magnetic actuator, the process provides the following steps: 1) defining a set of excitations that does not destabilizes the rotating machine, 2) injecting the set of excitations in the rotating machine through the magnetic actuators and 3) measuring the response of the rotating machine checking whether the response verifies at least one predefined criterium, 4) if it is not the case, adjusting the properties of the set of excitations and resuming the process at the injection step, 5) if the response verifies the at least one criterium, determining at least one condition indicator based on the response measured, 6) determining if an alarm is to be triggered based on the condition indicator determined.

A data classification apparatus and method for providing expanded information are proposed. The method may include collecting time-series sensor data from an Internet-of-Things (IoT) sensor provided in or installable in a machine, and generating first processed data in which the time-series sensor data is highlighted. The method may also include generating, based on the first processed data, second processed data for determining a state of the machine, and classifying the state of the machine, based on the second processed data. The state of the machine may include one or more of a first state in which the machine is active and the first processed data is included in a non-pattern section in which no pattern is visualized, and a second state in which the machine is active and the first processed data is included in a pattern section in which an arbitrary pattern is visualized.

A seismic sensor is provided. The seismic sensor includes a housing, one or more detectors including a first detector tuned to vibrate when exposed to a first frequency, and the one or more microsensors associated with each of the one or more detectors. The one or more microsensors are configured to detect a vibration of the corresponding detector. The seismic sensor is configured to a) receive a signal at the first frequency, b) cause the first detector to vibrate in respond to the received signal at the first frequency, and c) transmit the received signal in response to detecting the first frequency.

A method analyzing a machine having a rotating shaft includes generating an electric measurement signal dependent on mechanical vibrations from the shaft rotation; sampling the measurement signal to generate a digital measurement data signal; performing a decimation of the digital measurement data signal to achieve a digital signal having a reduced sampling frequency, where the decimation includes controlling the reduced sampling frequency such that the number of sample values per revolution of the shaft is kept at a substantially constant value, and receiving the digital signal at an enhancer input performing a correlation in the enhancer so as to produce an output signal sequence where repetitive signals amplitude components are amplified in relation to stochastic signal components, and performing a condition analysis for analyzing the condition of the machine dependent on the digital signal having a reduced sampling frequency.