A sump pump system enables automatic determination and utilization of frequencies for mechanical shakers for sump pumps. These techniques may be implemented to detect a fault (e.g., a stuck impeller) with a sump pump and to identify a desirable frequency at which a mechanical shaker for the sump pump should vibrate to correct the fault.

A sump pump system enables automatic determination and utilization of frequencies for mechanical shakers for sump pumps. These techniques may be implemented to detect a fault (e.g., a stuck impeller) with a sump pump and to identify a desirable frequency at which a mechanical shaker for the sump pump should vibrate to correct the fault.

A control device is applied to a fuel supply system including a fuel pump that rotates an impeller in a housing and pumps fuel from a fuel tank and a fuel pipe in which fuel discharged from the fuel pump flows. The control device controls the fuel pump. The control device includes an execution device and a storage device that stores a program of a process which is performed by the execution device. In the control device, the execution device performs a coping process of increasing an amount of operation of the impeller when the impeller is deformed and interference with the housing is detected in comparison with a case in which the interference is not detected.

A diagnostic apparatus for a fuel pump diagnoses the state of a fuel pump based on: a correlation between a pump rotational speed that is a rotational speed of the motor and fuel pressure that is pressure of the fuel discharged from the fuel pump; and an initial correlation that is the correlation in an initial actuation period from when the fuel pump is energized for the first time to when a specified period has elapsed.

A sump pump system may implement adaptive learning and machine learning techniques to facilitate improved control of sump pumps. A sump pump system may implement the described techniques to generate, train, and/or implement a machine learning model that is capable of predicting or estimating one or more conditions of the sump pump system (e.g., water level in the basin, motor malfunction, stuck impeller, geyser effect, blocked outlet pipe, faulty level sensor/switch, faulty bearing, failure to engage pump at high-water mark, etc.) based on one or more detected input variables (e.g., acceleration or vibration patterns detected in water, on a pump, or on a pipe; capacitance values of water; audio signatures; electrical signatures, such as power or current draw; pump motor rotation speed; water pressure signatures or values, such as those detected at the bottom of a sump basin; etc.).

A sump pump system detects backflow from an outlet pipe in a sump pump system and implements control of the sump pump in light of the detected backflow (or lack thereof). The sump pump system may detect the backflow (or lack thereof) by detecting and comparing water rise rates in a sump basin before activation or engagement of the sump pump (e.g., immediately before the pump starts pumping) and after the pump has disengaged or deactivated (e.g., immediately after the pump stops pumping). The rises rates may be detected via sensors configured to detect motion or acceleration (e.g., accelerometers, inertial measurement units, or force acceleration sensors) placed in the sump basin such that detect motion of water in the basin corresponding to changing water levels.

In a method for monitoring a pump arranged in a flow path to pump a fluid, the temperature of a fluid is regulated by a tempering element during the operation of the pump. The regulation of the temperature may include detecting at least one status point which is formed from an energy supplied to the tempering element and a temperature slope of the tempering element. The status point may be determined in a hazard range by checking whether the status point is located outside of a normal status range, which means that the lifespan of the pump is limited.

A control device is applied to a fuel supply system including a fuel pump that rotates an impeller in a housing and pumps fuel from a fuel tank and a fuel pipe in which fuel discharged from the fuel pump flows. The control device controls the fuel pump. The control device includes an execution device and a storage device that stores a program of a process which is performed by the execution device. In the control device, the execution device performs a coping process of increasing an amount of operation of the impeller when the impeller is deformed and interference with the housing is detected in comparison with a case in which the interference is not detected.

In a method for monitoring a pump arranged in a flow path to pump a fluid, the temperature of a fluid is regulated by a tempering element during the operation of the pump. The regulation of the temperature may include detecting at least one status point which is formed from an energy supplied to the tempering element and a temperature slope of the tempering element. The status point may be determined in a hazard range by checking whether the status point is located outside of a normal status range, which means that the lifespan of the pump is limited.

A sump pump system may implement adaptive learning and machine learning techniques to facilitate improved control of sump pumps. A sump pump system may implement the described techniques to generate, train, and/or implement a machine learning model that is capable of predicting or estimating one or more conditions of the sump pump system (e.g., water level in the basin, motor malfunction, stuck impeller, geyser effect, blocked outlet pipe, faulty level sensor/switch, faulty bearing, failure to engage pump at high-water mark, etc.) based on one or more detected input variables (e.g., acceleration or vibration patterns detected in water, on a pump, or on a pipe; capacitance values of water; audio signatures; electrical signatures, such as power or current draw; pump motor rotation speed; water pressure signatures or values, such as those detected at the bottom of a sump basin; etc.).