The disclosure discloses a wheel testing machine. The wheel testing machine comprises a wheel clamping part and a test detection part, the device can meet the requirements of wheel test detection in use.

The disclosure discloses a wheel testing machine. The wheel testing machine comprises a wheel clamping part and a test detection part, the device can meet the requirements of wheel test detection in use.

An abnormality detecting apparatus includes a signal obtaining unit, a first index calculation unit, a spectrum calculation unit, a standardization unit, and a second index calculation unit. The signal obtaining unit obtain signals indicating a rotation speed of the wheel assembly, as pulses having a rise. The first index calculation unit calculates a first index indicating a temporal variation of the rise of each of the pulses. The spectrum calculation unit calculates a frequency spectrum of rotational orders from a first order to an mth order of the first index calculated for each of the pulses. The standardization unit standardizes a gain for each rotational order of the frequency spectrum using a mean value and a standard deviation of the gain for each rotational order when there is no abnormality. The second index calculation unit calculates a second index for determining whether there is an abnormality.

An abnormality detecting apparatus includes a signal obtaining unit, a first index calculation unit, a spectrum calculation unit, a standardization unit, and a second index calculation unit. The signal obtaining unit obtain signals indicating a rotation speed of the wheel assembly, as pulses having a rise. The first index calculation unit calculates a first index indicating a temporal variation of the rise of each of the pulses. The spectrum calculation unit calculates a frequency spectrum of rotational orders from a first order to an mth order of the first index calculated for each of the pulses. The standardization unit standardizes a gain for each rotational order of the frequency spectrum using a mean value and a standard deviation of the gain for each rotational order when there is no abnormality. The second index calculation unit calculates a second index for determining whether there is an abnormality.

A method of instance segmentation in an image and a system for instance segmentation of images. The method includes identifying, with a processor, a starting pixel associated with an object in an image, the image having a plurality of rows of pixels, the starting pixel located in a row of the plurality of rows; identifying, with the processor, at least one pixel located in an adjacent row to the row in which the starting pixel is located, the at least one pixel being part of the same object as the starting pixel; iterating the previous two identification steps using the at least one identified adjacent row pixel as a start pixel for the next iteration; and connecting, with the processor, the at least one identified adjacent row pixels to form polylines representing the object.

A vibration monitoring system includes a plurality of encoders and an analyzer. The encoders are configured to generate multiple pulse train signals for multiple wheels. Each encoder is coupled to a respective one of the multiple wheels and generates a single one of the pulse train signals. The analyzer is coupled to the encoders and is configured to generate multiple pulse per revolution signals and multiple angular velocity signals for the wheels in response to the pulse train signals. Each pulse per revolution signal conveys a single pulse per rotation of the respective wheel. The analyzer is further configured to generate an input phasor array representative of the pulse per revolution signals, generate a response phasor array in response to the angular velocity signals for the wheels, and generate a report that identifies at least one vibrating wheel in response to the input phasor array and the response phasor array.

A vibration monitoring system includes a plurality of encoders and an analyzer. The encoders are configured to generate multiple pulse train signals for multiple wheels. Each encoder is coupled to a respective one of the multiple wheels and generates a single one of the pulse train signals. The analyzer is coupled to the encoders and is configured to generate multiple pulse per revolution signals and multiple angular velocity signals for the wheels in response to the pulse train signals. Each pulse per revolution signal conveys a single pulse per rotation of the respective wheel. The analyzer is further configured to generate an input phasor array representative of the pulse per revolution signals, generate a response phasor array in response to the angular velocity signals for the wheels, and generate a report that identifies at least one vibrating wheel in response to the input phasor array and the response phasor array.

An on-line space detecting device for wheel inner, which comprises a frame, a servo motor A, a synchronous gear A, a bottom plate, a synchronous belt, a synchronous gear B, a base, a connecting shaft, a servo motor B, a shaft sleeve A, a lower end cap, a connecting shaft B, a shaft sleeve B, an oil cylinder, a bearing A, an end cap, a gland, bearings B, a chassis, a flange, a locating pin, springs, rising flaps, a connecting shaft C, a protection, a rising core etc., the present disclosure can meet the needs of the space detection for wheel inner, and has the characteristics of simple structure, convenient manufacture, stable performance and precision of meeting the processing requirements, and can meet the needs of automatic production.

An on-line space detecting device for wheel inner, which comprises a frame, a servo motor A, a synchronous gear A, a bottom plate, a synchronous belt, a synchronous gear B, a base, a connecting shaft, a servo motor B, a shaft sleeve A, a lower end cap, a connecting shaft B, a shaft sleeve B, an oil cylinder, a bearing A, an end cap, a gland, bearings B, a chassis, a flange, a locating pin, springs, rising flaps, a connecting shaft C, a protection, a rising core etc., the present disclosure can meet the needs of the space detection for wheel inner, and has the characteristics of simple structure, convenient manufacture, stable performance and precision of meeting the processing requirements, and can meet the needs of automatic production.

A method for iteratively determining the radius of a wheel of a number of wheels can be utilized for a motor vehicle having a driving direction sensor unit for detecting straight line travel, with each wheel being assigned an incremental sensor unit for detecting increments embodying wheel rotational movements. The method may involve checking whether the motor vehicle is driving based on the incremental sensor units, checking whether the motor vehicle is driving in a straight line based on the driving direction sensor unit, checking whether each wheel is slide-free and slip-free based on the incremental sensor units, determining the distance driven by each wheel based on the sensor value of the respective incremental sensor unit and the radius to be iteratively determined of the wheel of a previous iteration, determining the distance driven by the motor vehicle based on the distance driven by each wheel, determining the radius to be iteratively determined of the wheel based on the distance traveled by the motor vehicle and the sensor value of the respective incremental sensor unit, verifying that a validation condition is met and then repeating the aforementioned steps.