A method and an apparatus for detecting a background noise of a sensor, relating to the technical field of electronics, are provided. The method for detecting a background noise of a sensor includes: receiving a sampling value output by the sensor and judging whether the sampling value falls within a background noise acceptable range; selecting the sampling value as a current background noise sampling value when the sampling value falls within the background noise acceptable range; and calculating a current background noise of the sensor according to a previous background noise and the current background noise sampling value of the sensor. Also provided is an apparatus for detecting a background noise of a sensor.

A method for setting a threshold value of a sensor is provided. Provided is a method in which a sensor system, including at least one processor and at least one port for transferring a signal to the at least one processor, sets the threshold value of a sensor, the method comprising: an initial reception step in which the at least one processor receives an input value of the sensor, connected to the port, through the port during a first time; an identification step in which the at least one processor identifies the type of sensor on the basis of to which section the input value received in the initial reception step corresponds from among a plurality of predetermined sections; a first type threshold value setting step in which, when the sensor is identified as a first type in the identification step, the at least one processor sets a predetermined threshold value as the threshold value of the port according to the type of the sensor; and a second type threshold value setting step in which, when the sensor is identified as a second type in the identification step, the at least one processor receives an input value of the sensor, connected to the port, through the port during a second time, so as to calculate an average input value during the second time, and sets the threshold value of the port on the basis of the average input value.

A method for setting a threshold value of a sensor is provided. Provided is a method in which a sensor system, including at least one processor and at least one port for transferring a signal to the at least one processor, sets the threshold value of a sensor, the method comprising: an initial reception step in which the at least one processor receives an input value of the sensor, connected to the port, through the port during a first time; an identification step in which the at least one processor identifies the type of sensor on the basis of to which section the input value received in the initial reception step corresponds from among a plurality of predetermined sections; a first type threshold value setting step in which, when the sensor is identified as a first type in the identification step, the at least one processor sets a predetermined threshold value as the threshold value of the port according to the type of the sensor; and a second type threshold value setting step in which, when the sensor is identified as a second type in the identification step, the at least one processor receives an input value of the sensor, connected to the port, through the port during a second time, so as to calculate an average input value during the second time, and sets the threshold value of the port on the basis of the average input value.

A system for monitoring a physical environmental property having non-stationary heteroscedastic noise is disclosed. A processor receives physical environmental measurement data, and constructs a combined input and output noise levels matrix containing output noise terms associated with the physical environmental property and input noise terms associated with the at least one independent variable. Using the combined input and output noise levels matrix, the processor constructs a main Gaussian Processes (GP) model for the physical environmental property and its non-stationary heteroscedastic noise. The processor generates and co-operates with the output device to perceptibly output a predictive probabilistic representation of the environmental property, using the main GP model. The predictive probabilistic representation includes a respective range of possible values of the physical environmental property for each respective value of the independent variable(s), the range reflecting both the input noise terms and the output noise terms.

A system for monitoring a physical environmental property having non-stationary heteroscedastic noise is disclosed. A processor receives physical environmental measurement data, and constructs a combined input and output noise levels matrix containing output noise terms associated with the physical environmental property and input noise terms associated with the at least one independent variable. Using the combined input and output noise levels matrix, the processor constructs a main Gaussian Processes (GP) model for the physical environmental property and its non-stationary heteroscedastic noise. The processor generates and co-operates with the output device to perceptibly output a predictive probabilistic representation of the environmental property, using the main GP model. The predictive probabilistic representation includes a respective range of possible values of the physical environmental property for each respective value of the independent variable(s), the range reflecting both the input noise terms and the output noise terms.

A magnetic flowmeter includes at least one coil configured to generate a magnetic field within a process fluid flow. A pair of electrodes is configured to detect an electromotive force within the process fluid flow in response to the magnetic field. Measurement circuitry is operably coupled to the pair of electrodes and configured to provide an indication of the detected electromotive force. A processor is coupled to the measurement circuitry and is configured to receive the indication of the detected electromotive force and an indication of process noise. The processor is configured to change a dead time parameter based on the indication of process noise and provide a process fluid flow output based on the indication of detected electromotive force and the dead time parameter.

A magnetic detection sensor for being installed at an end of a cable with a pair of signal wires to detect a magnetic field from magnetic poles. The sensor includes a magnetic sensor including a detection section and a pair of lead frames, the detection section including a magnetic detection element for detecting the magnetic field from the magnetic poles, and the lead frames extending from the detection section and configured to output a detection signal of the detection section, a housing portion that houses the magnetic sensor, and a capacitor that is provided separately from the magnetic sensor and is housed in the housing portion. First joining portions respectively joining the pair of lead frames to the pair of signal wires and second joining portions respectively joining the pair of lead frames to a pair of lead wires of the capacitor are located inside the housing portion.

A resolver disposed to monitor a rotatable member is described, along with an associated method for evaluating an output signal therefrom. The method for monitoring the resolver includes supplying an excitation signal to the resolver, and monitoring, at an oversampling rate, first and second output signals from the resolver. An oversampling routine is executed to determine averages of the first and second output signals from the resolver. A demodulation angle error is determined based upon the first and second output signals from the resolver, and provided as feedback. A position of the resolver is also determined based upon the first and second output signals from the resolver.

A motor control device is configured to control a motor as a dynamic force source depending on a position of a rotation detection object that rotates while interlocking with the motor, the motor and the rotation detection object being included in a mechanical apparatus including a plurality of constituent elements that interlock with each other. The motor control device includes a computation circuit configured to compute an absolute rotation angle of the rotation detection object, using a relative rotation angle of a first constituent element of the mechanical apparatus that is detected through a relative angle sensor provided in the mechanical apparatus, and a rotation number conversion value resulting from converting an absolute rotation angle of a second constituent element of the mechanical apparatus that is detected through an absolute angle sensor provided in the mechanical apparatus, into a rotation number of the first constituent element.

According to some embodiments, system and methods are provided including receiving, via a communication interface of an event detection and classification module comprising a processor, data from one or more sensors in a system; determining an event occurred based on the received data; applying a coherency similarity process to the received data via a classification module; determining whether the event is an actual event or a mal-doer event based on an output of the classification module; transmitting the determination of the event as the actual or the mal-doer event; and modifying operation of the system based on the transmitted output. Numerous other aspects are provided.