The present invention provides a large-scale high-speed rotary equipment measuring and intelligent learning assembly method and device based on vector minimization geometry center, mass center, the center of gravity and the center of inertia, belonging to the technical field of mechanical assembly. The method includes the steps of establishing a four-parameter circular profile measuring model for a single stage of rotor, simplifying the established four-parameter circular profile measuring model for the single stage of rotor, and establishing a four-target optimization model of the geometry center, mass center, the center of gravity and the center of inertia of multiple stages of rotors based on the angular orientation mounting position of each stage of rotor. The device include a base, an air flotation shaft system, an aligning and tilt regulating workbench, precise force sensors, a static balance measuring platform, an upright column, a lower transverse measuring rod, a lower telescopic inductive sensor, an upper transverse measuring rod and an upper lever type inductive sensor.

The present invention provides a large-scale high-speed rotary equipment measuring and neural network learning regulation and control method and device based on rigidity vector space projection maximization, belonging to the technical field of mechanical assembly. The method utilizes an envelope filter principle, a two-dimensional point set S, a least square method and a learning neural network to realize large-scale high-speed rotary equipment measuring and regulation and control. The device comprises a base, an air flotation shaft system, an aligning and tilt regulating workbench, precise force sensors, a static balance measuring platform, a left upright column, a right upright column, a left lower transverse measuring rod, a left lower telescopic inductive sensor, a left upper transverse measuring rod, a left upper telescopic inductive sensor, a right lower transverse measuring rod, a right lower lever type inductive sensor, a right upper transverse measuring rod and a right upper lever type inductive sensor. The method and the device can perform effective measuring and accurate regulation and control on large-scale high-speed rotary equipment.

The present invention provides a large-scale high-speed rotary equipment measuring and neural network learning regulation and control method and device based on rigidity vector space projection maximization, belonging to the technical field of mechanical assembly. The method utilizes an envelope filter principle, a two-dimensional point set S, a least square method and a learning neural network to realize large-scale high-speed rotary equipment measuring and regulation and control. The device comprises a base, an air flotation shaft system, an aligning and tilt regulating workbench, precise force sensors, a static balance measuring platform, a left upright column, a right upright column, a left lower transverse measuring rod, a left lower telescopic inductive sensor, a left upper transverse measuring rod, a left upper telescopic inductive sensor, a right lower transverse measuring rod, a right lower lever type inductive sensor, a right upper transverse measuring rod and a right upper lever type inductive sensor. The method and the device can perform effective measuring and accurate regulation and control on large-scale high-speed rotary equipment.

A dynamic balancer includes an outer housing and a spindle assembly rotatably mounted to the outer housing. A frameless motor assembly is connected to selected components of the spindle assembly. A chucking assembly receives a locking member to capture a tire therebetween. The chucking assembly and the locking member are captured in the spindle assembly and rotated by the frameless motor assembly. A spring-biased return cylinder may be used with the dynamic balancer to assist in capturing and releasing the locking member with respect to the chucking assembly. An adjustable encoder assembly may be associated with the motor assembly to monitor a rotational position of the tire and/or spindle assembly.

A modular method of balancing a rotor assembly comprising two or more rotor sub-assemblies comprises dynamically balancing a set of rotor units each comprising one of the rotor sub-assemblies (52) and in which every other rotor sub-assembly is substituted by a respective simulator (54A, 56A). A respective set (55X, 55Y, 55Z) of balancing weights is applied to one or more of the rotor sub-assembly and simulators of a rotor unit (50A) to achieve dynamic balancing such that each set only corrects unbalance contributed by that rotor sub-assembly or simulator to which it is applied. Each set which is applied to a simulator is transferred to the corresponding sub-assembly. The sub-assemblies are then mated to form the balanced rotor assembly. Excitation of flexible modes of the balanced rotor assembly during its rotation is reduced or avoided.

A modular method of balancing a rotor assembly comprising two or more rotor sub-assemblies comprises dynamically balancing a set of rotor units each comprising one of the rotor sub-assemblies (52) and in which every other rotor sub-assembly is substituted by a respective simulator (54A, 56A). A respective set (55X, 55Y, 55Z) of balancing weights is applied to one or more of the rotor sub-assembly and simulators of a rotor unit (50A) to achieve dynamic balancing such that each set only corrects unbalance contributed by that rotor sub-assembly or simulator to which it is applied. Each set which is applied to a simulator is transferred to the corresponding sub-assembly. The sub-assemblies are then mated to form the balanced rotor assembly. Excitation of flexible modes of the balanced rotor assembly during its rotation is reduced or avoided.

A mass simulator to determine unbalance of a rotor module in a balancing machine that simulates the mass of an adjacent rotor module. The mass simulator has a shaft extending along an axis of rotation of the mass simulator. The shaft has an attachment interface at one end for attaching to a corresponding interface, and has a support portion at the opposite end which is rotatably supportable in the balancing machine. The mass simulator has a mass body mounted to the shaft by a release mechanism allowing the mass body to be repeatably mounted to and dismounted from the shaft. The mass simulator being attached to the rotor module at the attachment interface and the assembly of the attached mass simulator and rotor module located in the balancing machine to determine unbalance of the rotor module with the mass body mounted to, and dismounted from, the shaft.

A mass simulator to determine unbalance of a rotor module in a balancing machine that simulates the mass of an adjacent rotor module. The mass simulator has a shaft extending along an axis of rotation of the mass simulator. The shaft has an attachment interface at one end for attaching to a corresponding interface, and has a support portion at the opposite end which is rotatably supportable in the balancing machine. The mass simulator has a mass body mounted to the shaft by a release mechanism allowing the mass body to be repeatably mounted to and dismounted from the shaft. The mass simulator being attached to the rotor module at the attachment interface and the assembly of the attached mass simulator and rotor module located in the balancing machine to determine unbalance of the rotor module with the mass body mounted to, and dismounted from, the shaft.

This disclosure relates generally to an optical strobing based multi-frequency vibration measurement, and more particularly to systems and methods for autonomous stroboscopic machine inspection for multi-point and multi-frequency vibration measurement. Embodiments of the present disclosure provide for an optical strobing based multi-frequency vibration measurement by selecting a strobe frequency, obtaining one or more image frames, obtaining a marker position, calculating a fast fourier transformation, obtaining one or more peak prominent frequencies, obtaining a product set of the one or more peak prominent frequencies, optimizing the strobing frequency where the value of the product set of the one or more peak prominent frequencies is not equal to an optimum pre-defined system value and detecting and measuring a plurality of vibrations of multiple frequencies by applying a chinese remainder theorem on the product set and the strobe frequency set.

This disclosure relates generally to an optical strobing based multi-frequency vibration measurement, and more particularly to systems and methods for autonomous stroboscopic machine inspection for multi-point and multi-frequency vibration measurement. Embodiments of the present disclosure provide for an optical strobing based multi-frequency vibration measurement by selecting a strobe frequency, obtaining one or more image frames, obtaining a marker position, calculating a fast fourier transformation, obtaining one or more peak prominent frequencies, obtaining a product set of the one or more peak prominent frequencies, optimizing the strobing frequency where the value of the product set of the one or more peak prominent frequencies is not equal to an optimum pre-defined system value and detecting and measuring a plurality of vibrations of multiple frequencies by applying a chinese remainder theorem on the product set and the strobe frequency set.