The subject matter of the present invention relates to a system for the optical determination of correction planes in rotating elements, used in the process of balancing, in particular in diagnostic devices equipped with a system which has at least one video camera (K), at least one line projector (RL), a monitor screen (M) and a computer (P) which controls individual component elements of the system, wherein the video camera (K) cooperates with the line projector (RL) while projecting a view of the rotating element (EW) on the monitor screen (M) together with an image of a line (L) projected by means of the line projector (RL).

The subject matter of the present invention also relates a method for determining correction planes which consists in that an area of measurement space is defined on the basis of a virtual rotating element (EW) before placing a rotating element (EW) on the shaft of a diagnostic device (PM) onto which line (L) is projected by means of line projector (RL), and subsequently a view of the rotating element (EW) is transmitted by means of the video camera (K) to the monitor screen (M) together with an image of the projected line (L), and thus the run of the line is obtained which maps a change in the value of the radius r.sub.n from the axis of the shaft of the diagnostic device (PM) and the value of distance D.sub.n of the rotating element (EW) from the diagnostic device (PM) in the defined area of measurement space.

A method for monitoring the balancing of the wheels of a motor vehicle, comprising at least a phase of modeling a first sinusoidal theoretical acceleration signal of a first wheel and a second sinusoidal theoretical acceleration signal of a second wheel, a noise-measuring phase including, for the first wheel, calculating the difference between the value of each sample of the first raw acceleration signal and a corresponding theoretical value of the first theoretical acceleration signal, then measuring a first standard deviation for the calculated differences, and, for the second wheel, calculating the difference between the value of each sample of the second raw acceleration signal and a corresponding theoretical value of the second theoretical acceleration signal, then measuring a second standard deviation for the calculated differences, a first step of calculating reference averages including calculating a first reference average of the first standard deviations and a second reference average of the second standard deviations, a second step of calculating a first current average of the first standard deviations and a second current average of the second standard deviations, and a diagnostic step to calculate a first variation between the first current average and the first reference average and a second variation between the second current average and the second reference average in order to detect a possible relative unbalance of the wheels.

A method for monitoring the balancing of the wheels of a motor vehicle, comprising at least a phase of modeling a first sinusoidal theoretical acceleration signal of a first wheel and a second sinusoidal theoretical acceleration signal of a second wheel, a noise-measuring phase including, for the first wheel, calculating the difference between the value of each sample of the first raw acceleration signal and a corresponding theoretical value of the first theoretical acceleration signal, then measuring a first standard deviation for the calculated differences, and, for the second wheel, calculating the difference between the value of each sample of the second raw acceleration signal and a corresponding theoretical value of the second theoretical acceleration signal, then measuring a second standard deviation for the calculated differences, a first step of calculating reference averages including calculating a first reference average of the first standard deviations and a second reference average of the second standard deviations, a second step of calculating a first current average of the first standard deviations and a second current average of the second standard deviations, and a diagnostic step to calculate a first variation between the first current average and the first reference average and a second variation between the second current average and the second reference average in order to detect a possible relative unbalance of the wheels.

A monitoring system and method monitor changes in clearance distances between a sensor and a rotating component of a machine. Imbalance and/or wear in the machine is identified based on the changes in the clearance distances. The system and method optionally both measure the clearance distances and a rotating speed of the rotating component of the machine with the same sensor. In order to identify imbalance in the machine, a spectral energy of the machine can be calculated based on the changes in the clearance distances, and the imbalance in the machine can be identified based on the spectral energy. The system and method can determine a trigger speed of the machine that is associated with the wear in the machine based on the changes in the clearance distance. A remaining useful life of the machine can be estimated based on changes in the trigger speed.

A monitoring system and method monitor changes in clearance distances between a sensor and a rotating component of a machine. Imbalance and/or wear in the machine is identified based on the changes in the clearance distances. The system and method optionally both measure the clearance distances and a rotating speed of the rotating component of the machine with the same sensor. In order to identify imbalance in the machine, a spectral energy of the machine can be calculated based on the changes in the clearance distances, and the imbalance in the machine can be identified based on the spectral energy. The system and method can determine a trigger speed of the machine that is associated with the wear in the machine based on the changes in the clearance distance. A remaining useful life of the machine can be estimated based on changes in the trigger speed.

A method for monitoring the balancing of the wheels of a motor vehicle, comprising at least a phase of modeling a first sinusoidal theoretical acceleration signal of a first wheel and a second sinusoidal theoretical acceleration signal of a second wheel, a noise-measuring phase including, for the first wheel, calculating the difference between the value of each sample of the first raw acceleration signal and a corresponding theoretical value of the first theoretical acceleration signal, then measuring a first standard deviation for the calculated differences, and, for the second wheel, calculating the difference between the value of each sample of the second raw acceleration signal and a corresponding theoretical value of the second theoretical acceleration signal, then measuring a second standard deviation for the calculated differences, a first step of calculating reference averages including calculating a first reference average of the first standard deviations and a second reference average of the second standard deviations, a second step of calculating a first current average of the first standard deviations and a second current average of the second standard deviations, and a diagnostic step to calculate a first variation between the first current average and the first reference average and a second variation between the second current average and the second reference average in order to detect a possible relative unbalance of the wheels.

A method for monitoring the balancing of the wheels of a motor vehicle, comprising at least a phase of modeling a first sinusoidal theoretical acceleration signal of a first wheel and a second sinusoidal theoretical acceleration signal of a second wheel, a noise-measuring phase including, for the first wheel, calculating the difference between the value of each sample of the first raw acceleration signal and a corresponding theoretical value of the first theoretical acceleration signal, then measuring a first standard deviation for the calculated differences, and, for the second wheel, calculating the difference between the value of each sample of the second raw acceleration signal and a corresponding theoretical value of the second theoretical acceleration signal, then measuring a second standard deviation for the calculated differences, a first step of calculating reference averages including calculating a first reference average of the first standard deviations and a second reference average of the second standard deviations, a second step of calculating a first current average of the first standard deviations and a second current average of the second standard deviations, and a diagnostic step to calculate a first variation between the first current average and the first reference average and a second variation between the second current average and the second reference average in order to detect a possible relative unbalance of the wheels.

A vehicle component balancing robot apparatus, system and method for on vehicle balancing of one or more of a tire, a wheel, bearings, brake components, and vehicle components that impart vibrations to the vehicle. The apparatus includes a frame arranged so as to connect with the vehicle. A robot of the apparatus moves relative to the frame, and is configured so that the move, relative to the frame, resolves a predetermined location of a tire-wheel assembly relative to a reference frame of the robot. The robot has at least one end effector arranged to interface the tire-wheel assembly and the robot moves the at least one end effector to other predetermined locations on a wheel rim of the tire-wheel assembly, determined based on resolution of the predetermined location of the tire-wheel assembly relative to the reference frame.

A vehicle component balancing robot apparatus, system and method for on vehicle balancing of one or more of a tire, a wheel, bearings, brake components, and vehicle components that impart vibrations to the vehicle. The apparatus includes a frame arranged so as to connect with the vehicle. A robot of the apparatus moves relative to the frame, and is configured so that the move, relative to the frame, resolves a predetermined location of a tire-wheel assembly relative to a reference frame of the robot. The robot has at least one end effector arranged to interface the tire-wheel assembly and the robot moves the at least one end effector to other predetermined locations on a wheel rim of the tire-wheel assembly, determined based on resolution of the predetermined location of the tire-wheel assembly relative to the reference frame.

An apparatus is provided for detecting vibrational anomalies of a vehicle. The apparatus includes a first device and a second device. The first device is removably attachable to a wheel assembly of the vehicle and includes an inertial measurement unit (IMU) configured to remotely collect acceleration data, and a microcontroller. The second device is also removably attachable to the vehicle, but is not attached to any of the wheel assemblies. The second device is configured to collect vibrational data. The microcontroller is configured to receive the remotely collected acceleration data and the vibrational data from the respective first and second devices, analyze the acceleration data from the first device to determine whether a vibrational anomaly exists in the wheel assembly, analyze the vibrational data from the second device to determine whether a vibrational anomaly exists, and compare the analyzed acceleration data from the first device and the analyzed vibrational data from the second device to identify a potential source of vibrational anomaly in the vehicle. When the analyzed acceleration data from the first device determines that there is negligible vibrational anomaly from the wheel assembly and the analyzed vibrational data from the second device determines the existence of a vibrational anomaly, the comparison identifies that the potential source of vibrational anomaly in the vehicle is in a part of the vehicle other than the wheel assembly.