A control device for a compressor includes an operation stop control unit that stops the compressor in a procedure different from a normal stop request signal when a signal different from the normal stop request signal that requests the compressor to stop in a predetermined procedure and a forced stop request signal from a device including the compressor is detected. The operation stop control unit stops the compressor in the different procedure according to a speed of the compressor when the forced stop request signal is detected.

A common mode line-to-ground filter is disclosed which includes but is not limited to a resistor, capacitor and a ground. The common mode line to ground filter is connected on a high side of a step-up transformer. A low side of the step-up transformer is connected to a variable frequency drive that provides a semi-sinusoidal voltage waveform. The common mode line to ground filter generates a filtered sinusoidal waveform from the output of the step-up transformer. The filtered sinusoidal voltage waveform is supplied via an electrical cable to an electrically submersible pump deployed downhole.

Systems and methods for real-time monitoring and control of well operations at a well site use machine learning (ML) based analytics at the well site. The systems and methods perform ML-based analytics on data from the well site via an edge device directly at the well site to detect operations that fall outside expected norms and automatically respond to such abnormal operations. The edge device can issue alerts regarding the abnormal operations and take predefined steps to reduce potential damage resulting from such abnormal operations. The edge device can also anticipate failures and a time to failure by performing ML-based analytics on operations data from the well site using normal operations data. This can help decrease downtime and minimize lost productivity and cost as well as reduce health and safety risks for field personnel.

Systems and methods for real-time monitoring and control of well operations at a well site use machine learning (ML) based analytics at the well site. The systems and methods perform ML-based analytics on data from the well site via an edge device directly at the well site to detect operations that fall outside expected norms and automatically respond to such abnormal operations. The edge device can issue alerts regarding the abnormal operations and take predefined steps to reduce potential damage resulting from such abnormal operations. The edge device can also anticipate failures and a time to failure by performing ML-based analytics on operations data from the well site using normal operations data. This can help decrease downtime and minimize lost productivity and cost as well as reduce health and safety risks for field personnel.

Provided is a degradation diagnostic device, which is configured to perform a diagnosis for degradation of a compressor including a compression mechanism unit to be driven along with a rotational motion of a rotary shaft, and a shell, which is configured to form an outer casing. The degradation diagnostic device includes a vibration detection device to be fixed onto an outer wall of the shell at a position at which the compression mechanism unit is located. The vibration detection device includes: a vibration sensor, which is configured to detect vibration of the compressor; a sensor holding unit including the vibration sensor; a base portion to which the sensor holding unit is connected; and a plurality of projecting portions, which are formed on a surface of the base portion on a side opposite to the sensor holding unit and to be brought into contact with the outer wall.

Provided is a degradation diagnostic device, which is configured to perform a diagnosis for degradation of a compressor including a compression mechanism unit to be driven along with a rotational motion of a rotary shaft, and a shell, which is configured to form an outer casing. The degradation diagnostic device includes a vibration detection device to be fixed onto an outer wall of the shell at a position at which the compression mechanism unit is located. The vibration detection device includes: a vibration sensor, which is configured to detect vibration of the compressor; a sensor holding unit including the vibration sensor; a base portion to which the sensor holding unit is connected; and a plurality of projecting portions, which are formed on a surface of the base portion on a side opposite to the sensor holding unit and to be brought into contact with the outer wall.

A compressor system includes a compressor including a bearing supporting a rotating shaft; a sensor configured to measure an index value correlated with a movement of the rotating shaft being made while the compressor is in operation; and a wear-detecting unit configured to detect a degree of wear of the bearing based on a measured value obtained by the sensor. The bearing is a plain bearing, and has a plurality of air gaps arranged at intervals in a circumferential direction such that wear of the bearing changes a positional relationship between an inner circumferential surface of the bearing and the plurality of air gaps and eventually changes a shape of the inner circumferential surface thereof. The wear-detecting unit detects the degree of wear of the bearing based on a change in the measured value caused by a change in the shape of the inner circumferential surface of the bearing.

A compressor system includes a compressor including a bearing supporting a rotating shaft; a sensor configured to measure an index value correlated with a movement of the rotating shaft being made while the compressor is in operation; and a wear-detecting unit configured to detect a degree of wear of the bearing based on a measured value obtained by the sensor. The bearing is a plain bearing, and has a plurality of air gaps arranged at intervals in a circumferential direction such that wear of the bearing changes a positional relationship between an inner circumferential surface of the bearing and the plurality of air gaps and eventually changes a shape of the inner circumferential surface thereof. The wear-detecting unit detects the degree of wear of the bearing based on a change in the measured value caused by a change in the shape of the inner circumferential surface of the bearing.

An air compressor includes a cylinder and a piston reciprocably movable inside the cylinder, an electric motor configured to drive the pump, and a pressure switch, including a push-button for activating and deactivating the pressure switch, movable between first and second operating positions. A housing covers the pump electric motor and pressure switch. A switch, coupled to the housing and movable between first and second operating positions is configured to move the push-button such that when the switch is in the first operating position, the push-button is in the respective first position and, when the switch is in the second operating position, the push-button is free to switch between the first and the second position.

An air compressor includes a cylinder and a piston reciprocably movable inside the cylinder, an electric motor configured to drive the pump, and a pressure switch, including a push-button for activating and deactivating the pressure switch, movable between first and second operating positions. A housing covers the pump electric motor and pressure switch. A switch, coupled to the housing and movable between first and second operating positions is configured to move the push-button such that when the switch is in the first operating position, the push-button is in the respective first position and, when the switch is in the second operating position, the push-button is free to switch between the first and the second position.