52results about How to "Realize online diagnosis" patented technology

The invention discloses a dynamic diagnosis method of a throttle valve. The method includes the steps that the target opening value of the throttle valve is acquired; the static deviation range valueof the throttle valve is acquired according to the target opening value; the actual dynamic deviation limiting value of the throttle valve is acquired; the position deviation range value of the throttle valve is acquired according to the actual dynamic deviation limiting value and the static deviation range value; the opening error of the throttle valve is acquired; whether the opening error of the throttle valve is within the position deviation range value or not is judged; if not, it is determined that the throttle valve breaks down. By means of the dynamic diagnosis method of the throttle valve, the throttle valve is dynamically diagnosed under the condition without dependent on a direct current motor and other equipment, the working state of the throttle valve is detected in real time,and timely feedback generated when the fault occurs is achieved.

The invention relates to an on-line diagnosis and evaluation method of the insulation state of a large electric machine, aiming at accurately diagnosing and evaluating the insulation state by comprehensively considering the influences of working environmental factors, such as vibration, temperature, humidity, and the like, of the electric machine on partial discharge. The on-line diagnosis and evaluation method comprises the following steps of: firstly building a neural network used for identifying discharge modes; constructing a neural network frame in an MATLAB2007 (Matrix Laboratory 2007); extracting a sample from a sample library to train the neural network; respectively building relational models of various discharge modes and the working environmental factors influencing the discharge modes according to the action relationship of the working environmental factors on the different discharge modes; installing various sensors on the large electric machines, and acquiring data; establishing a database; calculating a characteristic value; correcting to obtain a Qm value at a standard working environment; longitudinally comparing corrected Qm historical data read from the database with the current corrected Qm value, and horizontally comparing Qm among three phases of same equipment and among all electric machines so as to obtain the insulation state according to corresponding rules. The invention provides a diagnosis and evaluation conclusion of an insulation fault.