Methods and systems for detecting and correcting improper operation of a compressor in a refrigeration system and/or an HVAC system include a component level detection and prevention and a system level detection and prevention. The system level detection and prevention can be a backup or a confirmation of the component level detection and prevention. The component level detection and prevention can detect and prevent improper compressor operation within a predetermined time so that the compressor's operation period in an improper direction can be minimized, thereby minimizing wear and damage to the compressor.

A method switches a switching device (4) between two switch positions in a hydraulic system. The hydraulic system apart from the switching device (4) includes a pump assembly (2). The pump assembly (2) can assume at least two different operating conditions. A switching-over of the switching device (4) is initiated by the pump assembly (2) via the hydraulic system. The switch positions of the switching device (4) are reached depending on a stay duration of the pump assembly (2) in at least one of the two operating conditions. Further, a hydraulic system for carrying out the method is provided.

A control system includes a processor with pump data for a parallel connected plurality of pumps in a database of an associated memory for implementing a dynamic priority number (DPN)-based pump selection algorithm for a method of pump selection for the plurality of pumps. The method includes calculating a DPN using pump data regarding a plurality of pump parameters for each of the plurality of pumps. The DPNs are dynamically updated when at least one of the pump parameters changes. The DPNs are used together with a current pump demand to dynamically select which of the pumps are to be turned on or off, and the dynamic selection is implemented. The DPNs can be calculated using a DPN equation.

A fluid supply system includes a fluid delivery system including a pump, a sensor configured to acquire data regarding the fluid delivery system, and a processing circuit coupled to the sensor. The processing circuit is configured to determine a health level of the fluid delivery system based on the data and provide a notification in response to the health level not satisfying a threshold.

Apparatus is provided featuring a signal processor or processing module configured at least to: receive signaling containing information about system energy consumption related to multiple pump combinations running in a multiple pump system; and determine whether to stage or de-stage a pump in the multiple pump system, based at least partly on the signaling received. The signal processor or processing module is configured to provide corresponding signaling containing information about whether to stage or de-stage the pump in the multiple pump system, and to implement control logic or a control logic algorithm based at least partly on the system energy consumption taking the form of specific energy that is a measure of energy used per unit mass for the multiple pump combinations running in the multiple pump system.

A method for identifying a fault in an impeller blockage in a centrifugal pump includes a determining step and a calculating step. The determining step includes determining the fault frequency f.sub.r,pump of at least one fault-indicating harmonic of a motor current on the basis of a fault model, wherein the centrifugal pump has a three-phase drive motor. The calculating step includes calculating a harmonic amplitude ?.sub.f of the motor current for the at least one determined fault frequency f.sub.r,pump by transforming the three-phase motor current into a dq current coordinate system that contains currents i.sub.d and i.sub.q and rotates at the fault frequency f.sub.r,pump. A geometric sum of direct components of the currents i.sub.d and i.sub.q in the dq current coordinate system corresponds to the harmonic amplitude ?.sub.f.

A method of determining a state of cooling water is provided. The method includes operating, by a controller, a driving motor of a cooling water-circulating pump that is configured to circulate cooling water at a fixed current, a fixed torque, or a fixed power. In addition, the controller is configured to calculate an average rotation speed of the driving motor for a preset first period of time during the operation of the driving motor. Whether the circulation state of the cooling water is normal is determined based on an error between the calculated average rotation speed and a preset reference rotation speed.

A system and method of controlling a swimming pool water circulation system. A method may include sensing the electrical current supplied to a variable speed pump to determine when the pump changes speeds and selectively supplying water to one or more ancillary equipment such that the ancillary equipment maintains sufficient water flow to operate. A system may include a multi-speed pump that generates water flow above a first rate, a controller configured to sense a reduction in power drawn by the multi-speed pump below a setpoint, and responsively communicate to the ancillary equipment to suspend operation of the ancillary equipment.

A fire fighting system for a fire apparatus includes a fluid system including a pump, a sensor configured to acquire data regarding the fluid system, and a processing circuit. The processing circuit is configured to determine a characteristic of the fluid system based on the data and provide a notification based on the characteristic.

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.).