Systems and methods for a hybrid diagnostic approach of real time diagnosis of electronic systems
First Claim
1. A hybrid diagnostic system for status prediction and diagnosis comprising:
- at least one system sensor;
at least one virtual sensor, wherein the virtual sensor determines status information based on a quantitative analysis of data from a monitored system; and
a diagnostic inference device that performs a qualitative analysis on the information from at least one of the at least one system sensor and the at least one virtual sensor.
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Abstract
Through a combination of a hybrid diagnostic scheme based on qualitative and quantitative technologies, at least component level status information can be obtained about a machine, such as an electronic device. In particular, qualitative model based diagnostic technologies is used in conjunction with quantitative analysis techniques and signature analysis to achieve accurate and reliable diagnosis of components and systems down to the individual component level, for example, down to the consumer replaceable unit level. Thus, the hybrid diagnostic methodology exploits the diagnostic information content in already available system signals via intelligent processing and allows for diagnosis with minimal sensor requirements. Furthermore, the diagnostic methodology allows for a self-diagnosing machine having diagnostic intelligence which in turn can reduce service time, service costs, increased machine up time and improve customer satisfaction.
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Citations
30 Claims
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1. A hybrid diagnostic system for status prediction and diagnosis comprising:
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at least one system sensor;
at least one virtual sensor, wherein the virtual sensor determines status information based on a quantitative analysis of data from a monitored system; and
a diagnostic inference device that performs a qualitative analysis on the information from at least one of the at least one system sensor and the at least one virtual sensor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A hybrid diagnostic system for prediction and diagnosis of system status in a document processing system comprising:
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a document processing system comprising at least one of at least one system sensor and at least one virtual sensor, wherein the virtual sensor is based on a quantitative analysis of data from one or more components of the document processing system; and
a diagnostic inference engine based on qualitative analysis of the data from the one or more sensor or virtual sensor. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A method for diagnosing or predicting failures in an electronic system comprising:
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monitoring one or more system sensors and virtual sensors to capture sensor information;
translating the sensor information into event information; and
estimating a state of the system based on the event information. - View Dependent Claims (18, 19, 20, 21, 22, 23)
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24. An information storage medium having information that diagnoses or predicts failures in an electronic system comprising:
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information that acquires information about the system using at least one system sensor;
information that performs a quantitative analysis on a portion of the information about the system using at least one virtual sensor;
information that performs a qualitative analysis on a portion of the information about the system; and
information that diagnoses a status of the system based on the combined results of the quantitative and the qualitative analysis. - View Dependent Claims (25, 26, 27, 28)
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29. A method for generating a diagnostic inference engine for predicting or diagnosing the status of an electronic system comprising:
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building a model of the system to be diagnosed from at least one of individual component models, controller models, and fault symptom tables, wherein the fault symptom tables list an output of one or more of at least one sensor and at least one virtual sensor for various operational states of the system; and
generating a diagnostic engine from the system model and at least one diagnostic requirement.
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30. A method for generating a diagnostic inference device for predicting or diagnosing the status of an electronic system comprising:
generating a diagnostic inference device from at least one of an individual component model, a controller model, a fault symptom table and a diagnostic requirement, wherein the fault symptom table comprises a list of outputs of one or more of at least one sensor and at least one virtual sensor for various operational states of the electronic system.
Specification