A method of monitoring a machine is described. The machine includes a mechanical system moved by a motor, where the mechanical system has more than two components coupled to each other. The two or more components move differently when the mechanical system is driven by the motor. The method includes repeatedly determining one movement factor of one of the components, and repeatedly determining one dynamic factor of one of the components. The movement factors of the remaining components are then calculated via a model of the mechanical system, and separate parameters for the components of the mechanical system are determined from the movement factor, the dynamic factor, and the calculated movement factors.

A method for prediction of key performance parameters of an aero-engine transition state acceleration process based on space reconstruction. Aero-engine transition state acceleration process test data provided by a research institute is used for establishing a training dataset and a testing dataset; dimension increase is conducted on the datasets based on the data space reconstruction of an auto-encoder; model parameters optimization is conducted by population optimization algorithms which is represented by particle swarm algorithm; and random forest regression algorithm performing well on high-dimensional data is used for carrying out regression on transition state performance parameters, which realizes effective real-time prediction from the perspective of engineering application.

A method for prediction of key performance parameters of an aero-engine transition state acceleration process based on space reconstruction. Aero-engine transition state acceleration process test data provided by a research institute is used for establishing a training dataset and a testing dataset; dimension increase is conducted on the datasets based on the data space reconstruction of an auto-encoder; model parameters optimization is conducted by population optimization algorithms which is represented by particle swarm algorithm; and random forest regression algorithm performing well on high-dimensional data is used for carrying out regression on transition state performance parameters, which realizes effective real-time prediction from the perspective of engineering application.

Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support automated failure mode detection for rotating machinery based on vibration analysis. To illustrate, a computing device may receive vibration data from one or more sensors configured to measure vibrations of a rotating machine, such as an engine. The computing device may generate a frequency spectrum based on the vibration data (or receive the frequency spectrum) and compare the frequency spectrum to one or more predetermined frequency models to determine one or more similarity metrics. The one or more predetermined frequency models may each be associated with a respective failure mode of the rotating machine. The computing device may identify a failure mode associated with a predetermined frequency model that corresponds to a similarity metric that satisfies a threshold, and the computing device may output an indication of the identified failure mode.

The disclosure relates to a dual-criterion diagram for designing and assessing the life and strength of high-temperature rotating components and its establishment. In addition, the disclosure relates to a method for designing and assessing the life and strength of high-temperature rotating components based on the dual-criterion diagram for designing and assessing the life and strength of high-temperature rotating components. The advantages of the disclosure include a simple design and assessment process, high operability, and reliable assessment results. The invention is expected to be applied finally to assessment and evaluation of high-cycle fatigue life of rotating components at high temperatures.

The disclosure relates to a dual-criterion diagram for designing and assessing the life and strength of high-temperature rotating components and its establishment. In addition, the disclosure relates to a method for designing and assessing the life and strength of high-temperature rotating components based on the dual-criterion diagram for designing and assessing the life and strength of high-temperature rotating components. The advantages of the disclosure include a simple design and assessment process, high operability, and reliable assessment results. The invention is expected to be applied finally to assessment and evaluation of high-cycle fatigue life of rotating components at high temperatures.

An electromagnetic braking system and control method, with the system having a CCU, a braking cylinder, a push rod, an electromagnetic braking ring, an electromagnetic braking piston fixed to the push rod, a first shading plate and a second shading plate, a photoelectric sensor fixed near the push rod, and an electromagnetic braking control circuit, and the control method including following the steps: initial estimating of the braking distance (l) according to the current magnitude, electromagnetic force between the two electromagnetic coils and initial velocity (v) of the push rod, arranging a restoration distance (Δl) between the top dead center and the piston after braking, installing two shading plates and the photoelectric sensor; and setting the distance between the two electromagnetic coils to when the starts braking.

The present invention discloses an electromagnetic braking system and control method, the system comprises a CCU, a braking cylinder, a push rod, an electromagnetic braking ring, an electromagnetic braking piston fixed to the push rod, a first shading plate and a second shading plate, a photoelectric sensor fixed near the push rod, and an electromagnetic braking control circuit.

The control method includes following steps: initial estimating the braking distance l according to the current magnitude, electromagnetic force between the two electromagnetic coils and initial velocity v of the push rod, arranging a restoration distance Δl between the top dead center and the piston after braking, installing two shading plates and the photoelectric sensor; setting the distance between the two electromagnetic coils to L=l+Δl when starting the braking.

A failure diagnosis system includes a sensor that detects diagnosis target information of a diagnosis target device; a setting portion that sets a type of a determination value based on the diagnosis target information to be used for determination of whether an abnormality occurs in the diagnosis target device; and a diagnosis unit including a determination portion that determines whether the abnormality occurs in the diagnosis target device on the basis of the determination value of the type set by the setting portion. The diagnosis unit includes a first interface that outputs a determination result in the determination portion to a first external device, and a second interface that outputs a determination value of a type that is not set by the setting portion in addition to the determination value of the type set by the setting portion to a second external device.

A method for directly determining a theoretical damage of at least one component of a device includes providing load-specific reference data in an evaluation unit, sensing actual load-specific data by a load sensing system, and transmitting the actual, load-specific data to the evaluation unit. The actual load-specific data includes classified load collectives comprising a dwell time of occurring damage variables at defined load levels, a number of load changes of occurring damage variables, and an event count of occurring damage variables. The method further includes scaling the load-specific reference data to the actual load-specific data for calculating the theoretical damage of the at least one component and determining a remaining service life.