Abstract: Disclosed are a water purifying module self-cleaning method and a washing machine using the method. The water purifying module self-cleaning method comprises: starting a water purifying module self-cleaning program to feed water into a washing machine to reach a preset level; and repeating a heating rinsing program and a clear water replacement rinsing program in sequence until detecting that the water purifying module is clean, wherein the heating rinsing program comprises a washing water heating step, a membrane rinsing step, a standing step and a membrane air washing step. The water purifying module self-cleaning method can peel off impurities, macromolecular particles and the like from the surface of a filter system (5) of a water purifying module, thus ensuring the water purifying effect of the water purifying module and effectively prolonging the service life of the water purifying module.

Abstract: A spray system of a washing comprises a spray pipeline with one end being a water inlet and further comprises an air pressure communication device; and one side of the air pressure communication device communicates with the spray pipeline while the other side of the air pressure communication device communicates with an outer drum of the washing machine. The spray system has the advantage of simple structure. The outer drum of the washing machine can communicate with the spray pipeline by the air pressure communication device, the pressure of the outer drum of the washing machine is guaranteed to be the same as that of the spray pipeline, water in the spray pipeline can totally flow into the outer drum of the washing machine, and the problem of water dripping when a door is opened due to residual water in the spray pipeline is avoided.

Abstract: Disclosed are a water purifying module self-cleaning method and a washing machine using the method. The water purifying module self-cleaning method comprises: starting a water purifying module self-cleaning program to feed water into a washing machine to reach a preset level; and repeating a heating rinsing program and a clear water replacement rinsing program in sequence until detecting that the water purifying module is clean, wherein the heating rinsing program comprises a washing water heating step, a membrane rinsing step, a standing step and a membrane air washing step. The water purifying module self-cleaning method can peel off impurities, macromolecular particles and the like from the surface of a filter system (5) of a water purifying module, thus ensuring the water purifying effect of the water purifying module and effectively prolonging the service life of the water purifying module.

Abstract: A signal analysis method extracts transient target signals of known type from a raw data source signal that contains an unknown number of target signals. The method can enhance the analysis of data obtained from in-line oil-debris sensors. The method comprises steps of: defining signatures of the known target signal, and of at least one of the intrinsic noise and interfering signals; performing a mathematical transform that decomposes the raw data into distinct data sets; using the signal signatures to identify and nullify the data sets containing noise and interfering signal signatures; using the target signal signatures to identify the data sets containing target signal components, or may further use a thresholding rule to remove intrinsic noise from said data sets, and finally applying the inverse transform to the processed data sets in order to reconstruct an enhanced output signal.

Abstract: A signal analysis method extracts transient target signals of known type from a raw data source signal that contains an unknown number of target signals. The method can enhance the analysis of data obtained from in-line oil-debris sensors. The method comprises steps of: defining signatures of the known target signal, and of at least one of the intrinsic noise and interfering signals; performing a mathematical transform that decomposes the raw data into distinct data sets; using the signal signatures to identify and nullify the data sets containing noise and interfering signal signatures; using the target signal signatures to identify the data sets containing target signal components, or may further use a thresholding rule to remove intrinsic noise from said data sets, and finally applying the inverse transform to the processed data sets in order to reconstruct an enhanced output signal.