30 results about "Diagnosis evaluation" patented technology

A safety controller for controlling an automated installation has a control unit to which a plurality of control input signals are supplied from the sensors of the installation. The control unit produces a plurality of control output signals on the basis of the control input signals in accordance with a user program running in said control unit in an automatic mode. The plurality of control output signals actuate the actuators. The safety controller also has a diagnosis evaluation unit that ascertains which one of a plurality of operating states is present at a defined instant of time and produces an operating state signal which represents the ascertained operating state. A diagnosis selection unit generates a diagnosis report as a function of the operating state signal and as a function of a user access authorization signal and / or a special operating mode signal. The diagnosis report representing the ascertained operating state thus varies depending on specific circumstances, such as a certain user access authorization or a certain operating mode.

A safety controller for controlling an automated installation which has a plurality of sensors and a plurality of actuators, comprises a control unit to which a plurality of control input signals are supplied by the sensors. The control unit produces a plurality of control output signals in an automatic mode on the basis of the control input signals in accordance with a user program running in said control unit. The plurality of control output signals is used to actuate the plurality of actuators. The safety controller also has a diagnosis evaluation unit to which a number of diagnoses input signals are supplied. The diagnosis evaluation unit takes the diagnosis input signals as a basis for ascertaining which of a plurality of operating states is present at a defined instant of time. The diagnosis evaluation unit produces an operating state data record which represents an ascertained operating state. The safety controller also has an interface for a display unit in order to display diagnosis reports. The operating state data record includes a plurality of diagnosis data and a Boolean status indicator. The control unit actuates at least one actuator on the basis of the Boolean status indicator contained in the operating state data record.

A safety controller for controlling an automated installation in accordance with a user program has a control unit receiving a plurality of control input signals from a plurality of sensors. The control unit produces a plurality of control output signals on the basis of the control input signals in accordance with a user program. The control output signals drive actuators in order to adopt one of a plurality of installation states of the automated installation. An installation diagnosis evaluation unit produces a number of installation state signals representing which one of the plurality of installation states is existent at a defined moment of time. In addition, a system diagnosis evaluation unit produces a number of system state signals, with each system state signal representing one from a plurality of operational system states of the controller system, which is formed by the control unit and its connected sensors and actuators, at the defined moment of time. A diagnosis report unit produces a number of diagnosis signals depending on the installation state signals, depending on the system state signals, and depending on predefined associations between said installation states and said operational system states. The diagnosis signals represent a number of diagnosis reports which are a result of a combination of both the installation states and associated operational system states. A display unit displays the diagnosis reports in response to the diagnosis signals.

A method of determining a suitable evaluation time for a diagnosis method for the diagnosis of a component, wherein the diagnosis method is based on at least one measured sensor value and at least one modeled comparative value (cOBDsim), wherein the method comprises: replacing, in the diagnosis method, at least one measured sensor value with a calculated model value (cBPU), where the model (20) for the calculation of the model value is a model of the component in a state that is to be recognized by the diagnosis method; executing (102, 104, 106) the diagnosis method with the calculated model value; obtaining a result value (aOBDsim) of the diagnosis method; repeating the preceding steps until the result value attains a defined threshold value; and fixing the suitable evaluation time in the diagnosis method as the time after which the result value has attained the threshold value.

The invention discloses a state evaluation method of a hydropower plant computer monitoring system. The method comprises a step of respectively initiating an upper computer state evaluation model and a lower computer state evaluation model which are provided with hydropower plant computer monitoring systems and establishing the corresponding classification diagnosis evaluation table, respectively detecting the actual degradation degree of each evaluation program and obtaining a basic deduction value, and multiplying the basic deduction value with the weight coefficient corresponding to the evaluation program to obtain the actual deduction value of the evaluation program, a step of comparing the actual deduction value of each evaluation program in each program classification with the classification diagnosis evaluation table and judging the diagnosis state corresponding to each program classification, and a step of obtaining the diagnosis state with the highest severity degree as the final evaluation result of the upper computer / lower computer of the hydropower plant computer monitoring system. According to the state evaluation method, the running state of the hydropower plant computer monitoring system can be comprehensively evaluated, the influence on a hydropower plant and even the stable operation of a power system by fault expansion is prevented, and the examination and maintenance cost can be greatly reduced.

The invention discloses a coal and gas highlight real-time prewarning method based on multi-source information fusion. The coal and gas highlight real-time prewarning method comprises the following steps that an advanced knowledge base is built up; judging criteria of a highlight dangerous single index are built up; various highlight dangerous prediction information is collected; multi-level fusion is conducted on the collected various information; real-time evaluation and level early prewarning of dangerousness are highlighted; and the dangerousness prevention is highlighted. According to thecoal and gas highlight real-time prewarning method, aiming at different characteristics of difference and prediction methods of highlight sensitive indexes represented by highlight dangerousness in different mines, after diagnosis evaluation is conducted on equipment monitoring and manual inspection detection information based on highlight omens from different information sources, real-time prediction of multi-source information fusion is conducted by utilizing an information fusion theory and a time-space coupling mechanism, so that precise prewarning information is provided, the wideness and real-time performance of collection of omen information before highlight happening are improved, and the accuracy of highlight dangerousness prediction is improved greatly.

Evaluation of VLP-I levels in combination with at least one of amyloid-β peptide (AB), hyperphosphorylated tau (pTau) or total tau (tTau) levels in samples of biological fluid improves the accuracy of diagnosis of Alzheimer's disease.

A method of determining a suitable evaluation time for a diagnosis method for the diagnosis of a component, wherein the diagnosis method is based on at least one measured sensor value and at least one modeled comparative value (cOBDsim), wherein the method comprises: replacing, in the diagnosis method, at least one measured sensor value with a calculated model value (cBPU), where the model (20) for the calculation of the model value is a model of the component in a state that is to be recognized by the diagnosis method; executing (102, 104, 106) the diagnosis method with the calculated model value; obtaining a result value (aOBDsim) of the diagnosis method; repeating the preceding steps until the result value attains a defined threshold value; and fixing the suitable evaluation time in the diagnosis method as the time after which the result value has attained the threshold value.