Abstract: A method for monitoring a rotating equipment through a condition monitoring device is performed in every predetermined time period after every predetermined time interval. The method comprises detecting presence of vibration in rotating equipment based on a signal associated with vibration in the rotating equipment. The signal is measured with one or more sensors of the plurality of sensors. Upon detecting presence of vibration, a predefined number of samples associated with the vibration is acquired at a first frequency. A Root Mean Square (RMS) value of vibration is calculated using predefined number of samples. The calculated RMS value of vibration is compared with a reference value for detecting an operating status, which is stored for every predetermined time interval. Thereafter, the method comprises processing the stored information to assess a condition of the rotating equipment.

Abstract: A system and method for estimating a power output of an electric motor with at least one magnetic field sensor includes providing magnetic field signal data, providing magnetic field frequency data based on the magnetic field signal data, determining a fundamental harmonic frequency of the supply frequency and at least one further frequency, determining a ratio between an amplitude of the at least one further harmonic frequency and an amplitude of the fundamental harmonic frequency, providing reference ratio data describing a relation of a ratio between an amplitude of the at least one further harmonic frequency and an amplitude of the fundamental harmonic frequency and a power output of the electric motor, and estimating the power output of the electric motor based on the reference ratio data and the determined ratio.

Abstract: The present invention relates to a condition monitoring device and method for monitoring an electrical machine. The method includes obtaining, at periodic instants, measurements from sensors of the condition monitoring device, where each sensor is one of a magnetometer and an accelerometer. The method also includes comparing, for one or more instants, amplitude data of the measurements with condition monitoring data, wherein the comparison is performed for the amplitude data in one or more axes and at one or more frequencies. The condition monitoring data includes a relation between a plurality of parameters, a plurality of conditions and a plurality of frequencies. The method additionally includes detecting a condition and at least one parameter associated with the condition, based on the comparison. According to the detection, the method includes utilizing the measurements of the at least one parameter for determining a health condition of the electrical machine.

Abstract: In order to compress sensor data for transmission, one or several operational parameters of a machine (20) having a rotating component are received. A compression technique is applied to a spectral representation of the sensor data to generate a compressed sensor data representation. The applied compression technique is dependent on the one or several operational parameters of the machine (20).

Abstract: The present disclosure discloses a Condition Monitoring Device (CDM), configured to monitor power consumption and loading of motor. The CDM receives value of a measured current in a stator of the motor, and measures at least one of a magnetic flux around the motor and vibrations in the motor. The magnetic flux, the vibrations and the current in the stator are measured within a predefined time window. The CDM calculates various parameters of the motor and estimates a value of current using the measurements and rated parameters stored in the CDM. The estimated parameter of current is compared with the measured value of current. A value of rotor speed (one of the rated parameters) is varied until the value of the estimated current is approximately equal to the value of the measured current. The value of current is considered to monitor power consumption and loading of the motor.

Abstract: A method for monitoring a rotating equipment through a condition monitoring device is performed in every predetermined time period after every predetermined time interval. The method comprises detecting presence of vibration in rotating equipment based on a signal associated with vibration in the rotating equipment. The signal is measured with one or more sensors of the plurality of sensors. Upon detecting presence of vibration, a predefined number of samples associated with the vibration is acquired at a first frequency. A Root Mean Square (RMS) value of vibration is calculated using predefined number of samples. The calculated RMS value of vibration is compared with a reference value for detecting an operating status, which is stored for every predetermined time interval. Thereafter, the method comprises processing the stored information to assess a condition of the rotating equipment.

Abstract: A method for monitoring a first machine and a second machine is described. The machines are rotating machines. Sensor devices are coupled to the machines. The method includes synchronizing a first sensor device and a second sensor device; sensing, by the first sensor device, an operating parameter of the first machine; and sensing, by the second sensor device, an operating parameter of the second machine. The sensing of the second operating parameter is synchronized to the sensing of the first operating parameter. The method further includes broadcasting, by the first sensor device, a data packet comprising the sensed operating parameter of the first machine; receiving, by the second sensor device, the data packet sent by the first sensor device; and calculating, by the second sensor device, a performance indicator from the received operating parameter of the first machine and the sensed operating parameter of the second machine.

Abstract: The present invention relates to a condition monitoring device and method for monitoring an electrical machine. The method comprises obtaining, at periodic instants, measurements from one or more sensors of the condition monitoring device, where each sensor is one of a magnetometer and an accelerometer. The method also comprises comparing, for one or more instants, amplitude data of the measurements with condition monitoring data, wherein the comparison is performed for the amplitude data in one or more axis and at one or more frequencies. The condition monitoring data comprises a relation between a plurality of parameters, a plurality of conditions and a plurality of frequencies. The method additionally comprises detecting a condition and at least one parameter associated with the condition, based on the comparison. According to the detection, the method comprises utilizing the measurements of the at least one parameter for determining a health condition of the electrical machine.

Abstract: System and method for monitoring a travel curve of moving part of circuit breaker comprising: device for optically monitoring travel path and comprising: light source; light detection device; optical element having plurality of zones with different optical properties which are alternately arranged, the optical element being provided on moving part of circuit breaker, light being intensity-modulated by the optical element and being received by light detection device during circuit breaker operation. The system further comprises an accelerometer mounted to circuit breaker, control unit for receiving signals from light detection device and from accelerometer, the control unit being configured to determine the travel curve based on the detected modulated light and on the detected vibration signal, the vibration signal being employed to identify a change of direction of movement of the moving part.

Abstract: The present disclosure discloses a Condition Monitoring Device (CDM), configured to monitor power consumption and loading of motor. The CDM receives value of a measured current in a stator of the motor, and measures at least one of a magnetic flux around the motor and vibrations in the motor. The magnetic flux, the vibrations and the current in the stator are measured within a predefined time window. The CDM calculates various parameters of the motor and estimates a value of current using the measurements and rated parameters stored in the CDM. The estimated parameter of current is compared with the measured value of current. A value of rotor speed (one of the rated parameters) is varied until the value of the estimated current is approximately equal to the value of the measured current. The value of current is considered to monitor power consumption and loading of the motor.

Abstract: A system configured for monitoring the operation status of an electric machine; a mobile phone therefor and server-based system using the same. The system includes a portable unit, adapted for free movement around the electric machine; an airborne acoustics sensor, adapted for measuring acoustic data produced by the electric machine at a first position in a path of the free movement; a magnetic field sensor, adapted for measuring magnetic field data produced by the electric machine at a second position in the path of the free movement; and a processing unit, adapted for calculating the operation status of the electric machine based on the acoustic data from the airborne acoustics sensor and the magnetic field data from the magnetic field sensor; wherein: the airborne acoustics sensor and the magnetic field sensor are integrated with the portable unit.

Abstract: System and method for monitoring a travel curve of moving part of circuit breaker comprising: device for optically monitoring travel path and comprising: light source; light detection device; optical element having plurality of zones with different optical properties which are alternately arranged, the optical element being provided on moving part of circuit breaker, light being intensity-modulated by the optical element and being received by light detection device during circuit breaker operation. The system further comprises an accelerometer mounted to circuit breaker, control unit for receiving signals from light detection device and from accelerometer, the control unit being configured to determine the travel curve based on the detected modulated light and on the detected vibration signal, the vibration signal being employed to identify a change of direction of movement of the moving part.

Abstract: In aspects, the present invention discloses a method of detecting a rotor fault in an electric machine using a data analysis unit. The method comprises measuring magnetic field strength along a first axis and a second axis, determining operating slip frequency of the electric machine using the measured magnetic field strength along the first axis and the second axis, determining an amplitude of the determined operating slip frequency in a first frequency spectrum and an amplitude of operating slip frequency in a second frequency spectrum, and detecting the rotor fault by comparing the amplitude of the determined operating slip frequency in the first frequency spectrum and the amplitude of operating slip frequency in the second frequency spectrum against a predetermined threshold.

Abstract: In aspects, the present invention discloses a system for monitoring condition of a plurality of motors. The system includes a plurality of condition monitoring devices capable of measuring one or more parameters associated with the corresponding motors, a gateway device coupled to the one or more condition monitoring devices for configuring the one or more condition monitoring devices upon installation and for communicating measurement data from the one or more condition monitoring devices, a server configured to receive measurement data from the gateway device 140 and to detect a condition of at least one motor from the one or more motors, and at least one mobile device capable of configuring the one or more condition monitoring devices, and for displaying one or more alert messages associated with the detected condition of the at least one motor based on a message from the server.

Abstract: In aspects, the present invention discloses a method of detecting a condition of an electric machine using a portable diagnostic device comprising one or more sensors for measuring at least one physical parameter associated with the electric machine in at least two axes. The method comprises measuring the at least one physical parameter associated with electric machine at a first position in a first axis and a second axis, determining a ratio of a first measurement of the at least one physical parameter in the first axis and a second measurement of the at least one physical parameter in the second axis at the first position, identifying a spatial distribution associated with the condition of the electric machine from a database based on the determined ratio and identifying the condition of the electric machine based on the identified spatial distribution.

Abstract: The present invention is concerned with a method for diagnosing the state of electromechanical systems in which electrical rotating machinery is used on the basis of analysis of impedance estimated from at least two currents and two voltages, measured during an operation of the electromechanical system. The method may be especially useful in the condition monitoring of electric motors and generators. The invention combines the information from both the voltage and current signals measurable at the motor terminals. Specifically, the measurements of voltage and current from two or more phases of a polyphase electrical machine are combined to estimate the impedance of the machine, impedance being the resistance to the flow of current that a circuit exhibits when a voltage is applied to it.

Abstract: It is proposed a system for condition monitoring electric machine and the method thereof. The system includes a portable unit, being adapted for free movement around said electric machine; a magnetic field sensor, being adapted for measuring magnetic field intensity at at least one of a plurality points of a path of said free movement; a processing unit, being adapted for receiving at least one corresponding magnetic field intensity signal from said magnetic field sensor, comparing at least one magnetic field intensity value to at least one corresponding expected value, and determining, based on the comparison, if a fault is present in the electric machine; wherein: said magnetic field sensor and said processing unit are integrated into said portable unit.

Abstract: A portable apparatus for controlling a robot and a method therefor. The portable apparatus includes: an orientation sensor adapted for measuring orientation of the portable apparatus; an HMI device adapted for detecting two-dimensional manual motion relative to the HMI device; and a processing unit adapted for receiving a first signal representing the measured orientation of the portable apparatus and a second signal representing the detected two-dimensional manual motion relative to the HMI device and controlling a part of the robot to move in a direction in consideration of the measured orientation of the portable apparatus and the detected two-dimensional manual motion relative to the HMI device.

Abstract: A method for identifying a fault condition in an electrical machine in which at least a stator or a rotor has parallel winding branches is disclosed. A measurement is carried out for obtaining a set of circulating current values between two parallel winding branches of which each winding branch includes a single coil. A frequency analysis is applied on the set of circulating current values to obtain at least one frequency component. A fault condition of the electrical machine is determined on the basis of the at least one frequency component.

Abstract: The present invention is concerned with a method of determining stationary signals for the diagnostics of an electromechanical systems in which electrical rotating machinery is used and in which at least one electrical or mechanical signal is measured during an operation of the electromechanical system. The method is used especially for condition monitoring of electric motors and generators. The method consists of measuring an analog waveform signal (S) of the electromechanical system and then manipulating that signal in various ways to obtain a frequencies spectrum, from which a vector of interest frequencies and corresponding vector of amplitudes are extracted to diagnose the electromechanical system.