Self-diagnois and repair system for image forming apparatus

• US 5,166,934 A
• Filed: 09/26/1990
• Issued: 11/24/1992
• Est. Priority Date: 09/21/1990
• Status: Expired due to Term

• Current Assignee: Mita Industrial Co., Ltd. (Kyocera Corporation)
• Original Assignee: Mita Industrial Co., Ltd. (Kyocera Corporation)
• Inventors: Yoshikawa, Hiroyuki, Kusumoto, Hiroshi, Shimomura, Yoshiki, Ishii, Yoshifumi, Tomiyama, Tetsuo, Umeda, Yasushi
• Primary Examiner(s): ATKINSON, CHARLES
• Application Number:
  US07/588,191
• Time in Patent Office: 790 Days
• Field of Search: 371/15.1, 371/16.4, 364/276.3, 364/281.9, 395/50, 395/54, 395/916
• US Class Current: 714/26
• CPC Class Codes: G03G 15/55 Self-diagnostics; Malfunction or lifetime display
• CPC Class Codes: G06F 11/0733 in a data processing system embedded in an image processing device, e.g. printer, facsimile, scanner
• CPC Class Codes: G06F 11/079 Root cause analysis, i.e. error or fault diagnosis in a hardware test environment G06F11/22; in a software test environment G06F11/36
• CPC Class Codes: G06F 11/0793 Remedial or corrective actions recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40
• CPC Class Codes: G06F 11/2257 using expert systems
• CPC Class Codes: Y10S 706/916 Electronic or computer, internal or network, circuit

Abstract

A system according to the invention has a plurality of sensors, a system control circuit and a plurality of actuators. State data, supplied from the sensors, is compared with characteristic data in the system control circuit. From this comparison, it is judged whether a fault has occurred depending upon whether the state data is relatively lower or higher. If a fault has occurred, fault inference fault is made on the basis of a comparison between qualitative data and fault diagnosis knowledge which are stored in the system control circuit. Then a judgement is made as to which of the elements in an image forming apparatus is abnormal. An actuator operating signal thereafter is generated as a result of this judgement.

Claims

1. A self-repairing system for an image-forming apparatus which includes a plurality of interrelated elements, the interrelated elements including actuator elements which control operations carried out by the elements of the apparatus, and sensor means for sensing conditions in the apparatus and providing condition data indicative thereof, said system comprising:

memory means for storing characteristic data representative of various characteristics of the apparatus, interrelationship knowledge representative of the interrelationships of the elements of the apparatus, and diagnostic knowledge;

diagnostic means for determining whether the apparatus is in a normal or an abnormal condition based upon condition data from the sensor means, the characteristic data and the diagnostic knowledge;

selection means, responsive to a determination by the diagnostic means that the apparatus is in an abnormal condition, for selecting one of the actuator elements to influence one of the operations in the apparatus based upon the characteristic data and the interrelationship knowledge; and

actuator control means for controlling an actuator means selected by the selection means to influence the one operation.

2. A self-repairing system for an image-forming apparatus as claimed in claim 1, wherein said characteristic data comprises repair knowledge and wherein the selection means selects the actuator element in the apparatus based upon the repair knowledge and the interrelationship knowledge.

3. A self-repairing system for an image-forming apparatus as claimed in claim 2, wherein said system comprises conversion means for converting condition data from the sensor means to symbolic data and wherein the diagnostic means determines the condition of the apparatus from symbolic data provided by the conversion means, and the diagnostic knowledge.

4. A self-repairing system for an image-forming apparatus as claimed in claim 3, wherein the selection means comprises repair plan inference means.

5. A self-repairing system for an image-forming apparatus as claimed in claim 4, wherein said system further comprises updating means for updating certain of the characteristic data based upon condition data provided by the sensor means, after the apparatus has been returned to its normal condition.

6. A self-repairing system for an image-forming apparatus as claimed in claim 4, wherein the characteristic data comprises reference value data and the interrelationship knowledge comprises mathematical model knowledge.

7. A self-repairing system for an image-forming apparatus as claimed in claim 6, wherein the reference value data represent desired operating ranges for parameters associated with the elements of the apparatus and wherein the updating means changes an original desired operating range to a new desired operating range if, after the apparatus has been returned to its normal condition, a parameter falls outside of its original desired operating range.

8. A self-repairing system for an image-forming apparatus as claimed in claim 4, wherein the diagnostic means infers a possible fault cause from the interrelationship knowledge.

9. A self-repairing system for an image-forming apparatus as claimed in claim 8, wherein the characteristic data comprises reference value data, and the interrelationship knowledge comprises mathematical model knowledge and substance model knowledge.

10. A self-repairing system for an image-forming apparatus as claimed in claim 9, wherein the characteristic data comprises first characteristic data which includes the reference value data and second characteristic data which is representative of materials operated upon by the apparatus.

11. A self-repairing system for an image-forming apparatus as claimed in claim 10, wherein the second characteristic data is representaive of copy paper and toner conditions.

12. A self-repairing system for an image-forming apparatus which includes a plurality of interrelated elements, the interrelated elements including actuator elements which control operations carried out by the elements of the apparatus, and sensor means for sensing conditions in the apparatus and providing condition data indicative thereof, said system comprising:

a memory for storing characteristic data representative of various characteristics of the apparatus, interrelationship knowledge representative of the interrelationships of the elements of the apparatus, and diagnostic knowledge;

diagnostic means for determining whether the apparatus is in a normal or an abnormal condition based upon condition data from the sensor means, the characteristic data and the diagnostic knowledge;

a selector, responsive to a determination by the diagnostic means that the apparatus is in an abnormal condition, for selecting one of the actuator elements to influence one of the operations in the apparatus based upon the characteristic data and the interrelationship knowledge;

a controller for controlling an actuator means selected by the selection means to influence the one operation and thereby return the apparatus to its normal condition; and

updating means for updating certain of the characteristic data based upon condition data provided by the sensor means after the apparatus has been returned to its normal condition.

13. A self-repairing system for an image-forming apparatus as claimed in claim 12, wherein the characteristic data comprises reference value data representative of an original desired operating range for a parameter associated with one of the elements and wherein the updating means changes the original desired operating range to a new desired operating range if, after the apparatus has been returned to its normal condition, the parameter falls outside of the original desired operating range.

14. A self-repairing system for an image-forming apparatus as claimed in claim 13, wherein said system comprises a symbolic converter for converting condition data from the sensor means to symbolic data in accordance with the desired operating range, wherein the diagnostic knowledge comprises function evaluation knowledge, and wherein the diagnostic means compares symbolic data from the converter to the function evaluation knowledge to determine an abnormal condition.

15. A self-repairing system for an image-forming apparatus as claimed in claim 14, wherein the selector comprises repair plan inferring means.

16. A self-repairing system for an image-forming apparatus which includes a plurality of interrelated elements, the interrelated elements including actuator elements which control operations carried out by the elements of the apparatus, and sensor means for sensing conditions in the apparatus and providing condition data indicative thereof, said system comprising:

memory means for storing characteristic data which includes repair knowledge representative of various characteristics of the apparatus, interrelationship knowledge representative of the interrelationships of the elements of the apparatus, and diagnostic knowledge including function evaluation knowledge, and fault cause knowledge;

diagnostic means for determining whether the apparatus is in a normal or an abnormal condition based upon condition data from the sensor means, the characteristic data, and the function evaluation knowledge, and for inferring possible fault causes based upon the interrelationship knowledge when the apparatus is determined to be in an abnormal condition; and

repair plan inference means, responsive to a determination by the diagnostic means that the apparatus is in an abnormal condition, for applying the interrelationship knowledge and the repair knowledge to infer a repair plan by which to control one of the actuator elements to influence one of the operations in the apparatus.

17. A self-repairing system for an image-forming apparatus as claimed in claim 16, wherein the repair plan inference means applies the repair knowledge to infer appropriate repair plans for a possible fault cause identified by the diagnostic means and applies the interrelationship knowledge and the possible fault cause to infer a repair plan which will cause minimum secondary affects from among the inferred appropriate repair plans.

18. A self-repairing system for an image-forming apparatus as claimed in claim 17, wherein the repair plan inference means applies the repair knowledge to infer appropriate repair plans for a possible fault cause identified by the diagnostic means, and applies the interrelationship knowledge and the possible fault cause to assign a priority to each of the inferred repair plans with the repair plan which is determined to cause minimum secondary affects assigned the highest priority.

19. A self-repairing system for an image-forming apparatus as claimed in claim 18, wherein, if the highest priority repair plan is unsuccessful, the repair plan inference means controls another of the actuator elements according to the repair plan having the next highest priority.

20. A self-repairing system for an image-forming apparatus as claimed in claim 19, wherein said system further comprises updating means for updating certain of the characteristic data based upon condition data provided by the sensor means after one of the inferred repair plans has been performed and the apparatus has been returned to its normal condition.

21. A self-repairing image-forming apparatus comprising:

interrelated elements including actuator elements which control operations in the apparatus;

sensor means for sensing conditions in the apparatus and providing condition data indicative thereof;

memory means for storing characteristic data representative of various characteristics of the apparatus, interrelationship knowledge representative of the interrelationships of the various elements of the apparatus, and diagnostic knowledge;

diagnostic means for determining whether the apparatus is in a normal or an abnormal condition based upon condition data from the sensor means, the characteristic data and the diagnostic knowledge;

selection means, responsive to a determination by the diagnostic means that the apparatus is in an abnormal condition, for selecting one of the actuator elements to influence one of the operations in the apparatus based upon the characteristic data and the interrelationship knowledge; and

actuator control means for controlling an actuator means selected by the selection means to influence the operation.

22. A self-repairing image-forming apparatus as claimed in claim 21, comprising conversion means for converting condition data from the sensor means to symbolic data and wherein the diagnostic means determines the condition of the apparatus from symbolic data from the conversion means and the diagnostic knowledge.

23. A self-repairing image-forming apparatus as claimed in claim 22, wherein the characteristic data comprises repair knowledge and wherein the diagnostic means identifies a fault symptom and wherein the selection means comprises

repair plan inference means, which selects the one actuator element based upon a fault symptom identified by the diagnostic means, the interrelationship knowledge, and the repair knowledge.

24. A self-repairing image-forming apparatus as claimed in claim 23, wherein said system further comprises updating means for updating certain of the characteristic data based upon condition data provided by the sensor means, after the apparatus has been returned to its normal condition.

25. A self-repairing image-forming apparatus as claimed in claim 24, wherein the characteristic data comprises reference value data and the interrelationship knowledge comprises mathematical model knowledge.

26. A self-repairing image-forming apparatus as claimed in claim 25, wherein the reference value data represent desired operating ranges for parameters associated with the elements of the apparatus and wherein the updating means changes certain of the characteristic data by changing an original desired operating range to a new desired operating range if, after the apparatus has been returned to its normal condition, a parameter falls outside of the original desired operating range.

27. A self-repairing image-forming apparatus as claimed in claim 26, wherein the characteristic data comprises first characteristic data which includes the reference value data and second characteristic data which is representative of materials operated upon by the apparatus.

28. A self-repairing image-forming apparatus as claimed in claim 27, wherein the second characteristic data is representative of copy paper and toner conditions.

29. A self-repairing image-forming apparatus as claimed in claim 23, wherein the diagnostic means infers a possible fault cause from the interrelationship knowledge.

30. A self-repairing method for an image-forming apparatus which has a plurality of interrelated elements, the interrelated elements including actuator elements for carrying out operations in the apparatus, sensor means for sensing conditions of the actuator elements, and memory means which stores characteristic data representative of various characteristics of the apparatus, interrelation knowledge representative of the interrelationships of the elements of the apparatus, and diagnostic knowledge, said method comprising the steps of:

determining whether the apparatus is in a normal or an abnormal condition based upon condition data from the sensor means, the characteristic data and the diagnostic knowledge;

if the apparatus is in an abnormal condition, selecting one of the actuator elements to influence one of the operations in the apparatus based upon the characteristic data and the interrelationship knowledge; and

controlling the selected one of the actuator elements to influence the one operation.

31. A method of self-repair as claimed in claim 30, comprising the steps of converting condition data from the sensor means to symbolic data.

32. A method of self-repair as claimed in 31, wherein the characteristic data comprises reference value data and said method further comprises the step of updating the stored reference value data based upon the symbolic data after the apparatus has been returned to its normal condition.

33. A method of self-repair as claimed in claim 32, wherein the reference value data represent desired operating ranges for parameters associated with the elements of the apparatus, and the step of updating the reference value data comprises the steps of changing an original desired operating range to a new desired operating range.

34. A method of self-repair as claimed in claim 32, wherein the step of selecting one of the actuator elements comprises the steps of:

identifying a fault symptom; and

inferring repair plans based upon an identified symptom and the interrelationship knowledge.

35. A method of self-repair as claimed in claim 34, wherein the step of identifying a fault symptom comprises identifying a possible fault cause.

36. A method of self-repair as claimed in claim 35 wherein diagnostic knowledge comprises function evaluation knowledge, and wherein the step of determining whether the apparatus is in a normal or an abnormal condition comprises the steps of comparing the symbolic data with the function evaluation knowledge.

37. A method of self-repair as claimed in claim 36, wherein the step of inferring repair plans comprises the steps of:

inferring secondary affects attributable to each inferred repair plan based upon the interrelationship data and the possible fault cause,

selecting a repair plan having the least inferred secondary affects from among the inferred repair plans, and

selecting the actuator element capable of influencing operations of the apparatus in accordance with the selected repair plan.

38. A method of self-repair as claimed in claim 35, the memory means stores repair rule knowledge, wherein the steps of inferring a repair plan comprise the steps of inferring sequences of steps for reducing an inferred secondary affect and applying the repair rule knowledge to select a preferred sequence, and wherein the repair rule knowledge comprises knowledge that

(a) a preferred sequence must not include a step which is contradictory with a step in the selected repair plan,

(b) the preferred sequence must be inferred to have minimum further secondary affects, and

(c) the preferred sequence is aborted if an operation forms a sequentional loop during performance of the preferred sequence.

39. A method of self-repair as claimed in claim 38, wherein if a selected repair plan fails, an alternative repair plan is selected on the basis of the next least number of inferred secondary affects.