The present invention discloses a pump for measuring a pressure of fluid to be transferred, a fluid transport system using the same, and a method for operating the system. The pump includes a pumping portion alternately generating a positive pressure and a negative pressure; a first diaphragm which is provided on one side of the pumping portion and of which a shape is changed as the positive pressure and the negative pressure are alternately generated; a transport chamber which sucks and discharges a transport target fluid corresponding to the deformation of the first diaphragm; a second diaphragm which is provided on the other side of the pumping portion; a monitoring chamber which is provided on one side of the second diaphragm and of which a pressure changes corresponding to the deformation of the second diaphragm; and a pressure measuring portion measuring a pressure change of the monitoring chamber.

The present invention discloses a pump for measuring a pressure of fluid to be transferred, a fluid transport system using the same, and a method for operating the system. The pump includes a pumping portion alternately generating a positive pressure and a negative pressure; a first diaphragm which is provided on one side of the pumping portion and of which a shape is changed as the positive pressure and the negative pressure are alternately generated; a transport chamber which sucks and discharges a transport target fluid corresponding to the deformation of the first diaphragm; a second diaphragm which is provided on the other side of the pumping portion; a monitoring chamber which is provided on one side of the second diaphragm and of which a pressure changes corresponding to the deformation of the second diaphragm; and a pressure measuring portion measuring a pressure change of the monitoring chamber.

A hydraulic lockout lever failure detection system preferably includes a first analog sensor, a second analog sensor, at least one electronic control module (ECU) and a solenoid valve. The voltage output level of the first and second analog sensors is monitored by the ECU. The solenoid valve controls the flow of hydraulic fluid to operate an excavator or other equipment. The operation of the solenoid valve is controlled by the ECU. However, a second ECU may be used to control the operation of the solenoid valve. A hydraulic lockout lever causes the first and second analog sensors to output either a low voltage to indicate a closed position, or to indicate an open position to the ECU. If the first and second analog sensors output a voltage that is above a low set value or above a high set value, a fault is detected.

A system for automatic detection of a defect in equipment may include a binary classification model trained to classify laboratory analysis results of an oil sample according to a gradient boosting algorithm, and to output a classification indicator of “good” or “defective” for the laboratory analysis results of the oil sample. The system may include a first multiclass classification model trained to classify the laboratory analysis results according to the gradient boosting algorithm if the laboratory analysis results are classified as “defective,” and to output a predicted defect type for the defect in equipment. The system may include a second multiclass classification model trained to classify the laboratory analysis results according to the gradient boosting algorithm and the predicted defect type, and to output a predicted corrective action pertaining to the equipment based on the predicted defect type for the defect in equipment.

A system for automatic detection of a defect in equipment may include a binary classification model trained to classify laboratory analysis results of an oil sample according to a gradient boosting algorithm, and to output a classification indicator of “good” or “defective” for the laboratory analysis results of the oil sample. The system may include a first multiclass classification model trained to classify the laboratory analysis results according to the gradient boosting algorithm if the laboratory analysis results are classified as “defective,” and to output a predicted defect type for the defect in equipment. The system may include a second multiclass classification model trained to classify the laboratory analysis results according to the gradient boosting algorithm and the predicted defect type, and to output a predicted corrective action pertaining to the equipment based on the predicted defect type for the defect in equipment.

A circuit retaining system can include a contact monitoring system configured to determine if a retainer is providing at least a selected force and/or pressure to a circuit board when the retainer is retaining the circuit board. The contact monitoring system can include a force and/or pressure sensor configured to be disposed between the retainer and the circuit board and to output a force and/or pressure sensor signal indicating a contact force and/or pressure.

A circuit retaining system can include a contact monitoring system configured to determine if a retainer is providing at least a selected force and/or pressure to a circuit board when the retainer is retaining the circuit board. The contact monitoring system can include a force and/or pressure sensor configured to be disposed between the retainer and the circuit board and to output a force and/or pressure sensor signal indicating a contact force and/or pressure.

A method and apparatus for determining a load of a drive device are disclosed. The drive device is provided with at least one sensor system which is coupled to a computing unit. By the sensor system, different data relating to the drive device in operation are detected. The detected data are transmitted to the computing unit and the detected data are compared to load-typical information stored in the computing unit. A type of load is determined based on the compared data.

According to one embodiment, a condition monitoring apparatus includes a processing circuitry. The processing circuitry is configured to collect a sensor signal output from a sensor that monitors a condition of a mechanical device that is at least partially mobile. The processing circuitry is configured to diagnose a presence or absence of an anomaly in the mechanical device based on the sensor signal. The processing circuitry is configured to cut out the sensor signal in a time width according to any one or more of a speed, an acceleration, and a jerk of the mechanical device. The processing circuitry is configured to determine the presence or absence of an anomaly based on the cut out sensor signal.

According to one embodiment, a condition monitoring apparatus includes a processing circuitry. The processing circuitry is configured to collect a sensor signal output from a sensor that monitors a condition of a mechanical device that is at least partially mobile. The processing circuitry is configured to diagnose a presence or absence of an anomaly in the mechanical device based on the sensor signal. The processing circuitry is configured to cut out the sensor signal in a time width according to any one or more of a speed, an acceleration, and a jerk of the mechanical device. The processing circuitry is configured to determine the presence or absence of an anomaly based on the cut out sensor signal.