A method and arrangement of fibre optic distributed sensing for detection of an event at an event location within a blind region including using at least one optical fibre arranged at least partly along an object to be monitored and at least one light pattern interrogator coupled with the optical fibre; injecting light patterns at subsequent times; detecting backscatter light from the light patterns; and analyzing the backscatter light to determine the event location so that a detection range of the fiber optic distribution range of the fiber-optic distributed sensing system is extended into a blind region conventionally not accessible for detecting acoustic disturbances or acoustic events.

A method of monitoring a condition of a dynamic system includes installing a vibration signal acquisition device at a predetermined location of the dynamic system, acquiring vibration signals by the vibration signal acquisition device, analyzing the vibration signals in a frequency domain, and predicting a change in the condition of the dynamic system based on the vibration signals in the frequency domain. A system is also provided, and a condition of the dynamic system includes clogging.

A method of monitoring a condition of a dynamic system includes installing a vibration signal acquisition device at a predetermined location of the dynamic system, acquiring vibration signals by the vibration signal acquisition device, analyzing the vibration signals in a frequency domain, and predicting a change in the condition of the dynamic system based on the vibration signals in the frequency domain. A system is also provided, and a condition of the dynamic system includes clogging.

A method of monitoring one or more manufacturing components includes clustering vibration data associated with the one or more manufacturing components to generate a plurality of clusters, determining a vibration characteristic of the one or more manufacturing components based on the plurality of clusters, comparing auxiliary data associated with the one or more manufacturing components and an auxiliary data prediction model associated with the one or more manufacturing components, and determining an auxiliary characteristic of the one or more manufacturing components based on a comparison of the auxiliary data associated and the auxiliary data prediction model. The method includes determining a state of the one or more manufacturing components based on the vibration characteristic and the auxiliary characteristic and broadcasting a notification based on the state.

A diagnostic device includes a reception unit and a determination unit. The reception unit is configured to receive context information and sensing information. The context information corresponds to a certain operation of a target item that constitutes a target device. The context information is a piece of a plurality of pieces of context information each describing an operation of the target item determined depending on a type of operation of the target device. The sensing information is on a physical quantity that varies in accordance with the operation of the target item. The determination unit is configured to determine a state of the target item based on the sensing information detected while the target item is performing the certain operation, and based on a model corresponding to the received context information. The model is a model of one or more models respectively defined for one or more pieces of the context information.

An apparatus for detecting a transient event in an operating machine, the apparatus comprising: a controller configured to control performance of the following steps: a measurement step comprising measuring a periodic signal from a machine; a processing step comprising synchronously processing the periodic signal to track the primary frequency; a filtering step comprising removing the primary periodic component and its harmonics from the periodic signal to yield a filtered dataset; an integration step comprising integrating the filtered dataset over the remaining frequencies to yield an integrated dataset representing the periodic energy at frequencies other than the primary frequency and its harmonics; an analysis step comprising identifying a short-term transient in the integrated dataset to identify a transient disruption in the operation of the machine.

An apparatus for detecting a transient event in an operating machine, the apparatus comprising: a controller configured to control performance of the following steps: a measurement step comprising measuring a periodic signal from a machine; a processing step comprising synchronously processing the periodic signal to track the primary frequency; a filtering step comprising removing the primary periodic component and its harmonics from the periodic signal to yield a filtered dataset; an integration step comprising integrating the filtered dataset over the remaining frequencies to yield an integrated dataset representing the periodic energy at frequencies other than the primary frequency and its harmonics; an analysis step comprising identifying a short-term transient in the integrated dataset to identify a transient disruption in the operation of the machine.

Conformance testing of a rebuilt motor includes disposing a motor under test in a motor test stand, coupling a plurality of sensors to the motor under test including a first vibrational sensor to the motor under test; a first temperature sensor to the motor under test; a first rotational speed sensor to the motor under test. A set of test parameters are received comprising parameters for a conformance test, the test parameters including a vibrational sensor parameter, a temperature sensor parameter, and a rotational speed parameter. A motor under test is placed in an on-state and a processing device receives sensor data simultaneously from the sensors, determines that the rotational speed satisfies the rotational speed parameter, and stores time sampled sensor data received from the plurality of sensors relative to a time zero corresponding to a time when the rotational speed satisfies the rotational speed.

A method for diagnosing and predicting operation conditions of large-scale equipment based on feature fusion and conversion, including: collecting a vibration signal of each operating condition of the equipment, and establishing an original vibration acceleration data set of the vibration signal; performing noise reduction on the original vibration acceleration data set, and calculating a time domain parameter; performing EMD on a de-noised vibration acceleration and calculating a frequency domain parameter; constructing a training sample data set through the time domain parameter and the frequency domain parameter; establishing a GBDT model, and inputting the training sample data set into the GBDT model; extracting a leaf node number set from a trained GBDT model; performing one-hot encoding on the leaf node number set to obtain a sparse matrix; and inputting the sparse matrix into a factorization machine to obtain a prediction result.

A test arrangement for fatigue testing a wind turbine blade, including a floor-mounted test rig having a fixing device for fixing the wind turbine blade to the test rig and an excitation assembly for exciting the wind turbine blade at a test frequency, wherein the test rig includes a liquid tank having a chamber containing a predefined liquid, wherein the liquid in the liquid tank has a resonance frequency depending on the amount of liquid in the liquid tank and the chamber geometry is provided.