METHOD OF RECOGNIZING WAVEFORMS AND DYNAMIC FAULT DETECTION METHOD USING THE SAME

• US 20080231636A1
• Filed: 05/10/2007
• Published: 09/25/2008
• Est. Priority Date: 03/23/2007
• Status: Abandoned Application

• Current Assignee: ProMOS Technologies, Inc.
• Original Assignee: ProMOS Technologies, Inc.
• Inventors: Chang, Hong Ming, Yang, Cheng Jer, Yang, Shu Ching, Chiou, Hung Wen
• Application Number:
  US11/747,159
• Publication Number:
  US 20080231636A1
• Time in Patent Office: Days
• US Class Current: 345/440.1
• CPC Class Codes: G05B 23/0229 knowledge based, e.g. expert systems; genetic algorithms

Abstract

A dynamic fault detection method comprises the steps of acquiring a data curve from a machine, performing a waveform-recognition process to check if the data curve includes an effective waveform, performing a data-diagnosing process to check if the value of the effective waveform in an effective region falls outside a predetermined range, and generating an alarm signal if the value of the effective waveform in the effective region falls outside the predetermined range. The waveform-recognition process comprises the steps of checking if the data curve includes a first segment, a second segment and a third segment sandwiched between the first segment and the second segment, and checking if the length of the third segment is larger than a predetermined value. The waveform is determined to include the effective waveform if the checking results are true.

Claims

1. A method for recognizing waveforms, comprising the steps of:

checking if a data curve includes a first segment, a second segment and a third segment sandwiched between the first segment and the second segment;

checking if the length of the third segment is larger than a first value; and

determining the waveform to include an effective waveform if the checking results are true.

2. The method for recognizing waveforms of claim 1, further comprising a step of checking if the slope of the first segment is larger than a second value.

3. The method for recognizing waveforms of claim 1, further comprising a step of checking if the slope of the second segment is larger than a third value.

4. The method for recognizing waveforms of claim 1, further comprising a step of checking if the first segment is directly connected to the third segment.

5. The method for recognizing waveforms of claim 1, further comprising a step of checking if the second segment is directly connected to the third segment.

6. The method for recognizing waveforms of claim 1, wherein the first segment, the second segment and the third segment are linear.

7. The method for recognizing waveforms of claim 1, wherein the first segment, the second segment and the third segment are curvy.

8. A dynamic fault detection method, comprising the steps of:

acquiring a data curve from a machine;

performing a waveform-recognition process to check if the data curve includes an effective waveform; and

performing a data-diagnosing process to check if the value of the effective waveform in an effective region falls outside a predetermined range, and generating an alarm signal if the value of the effective waveform in the effective region falls outside the predetermined range.

9. The dynamic fault detection method of claim 8, wherein the waveform-recognition process comprises the steps of:

checking if the data curve includes a first segment, a second segment and a third segment sandwiched between the first segment and the second segment;

checking if the length of the third segment is larger than a first value; and

determining the waveform to include an effective waveform if the checking results are true.

10. The dynamic fault detection method of claim 9, wherein the waveform-recognition process further comprises a step of checking if the slope of the first segment is larger than a second value.

11. The dynamic fault detection method of claim 9, wherein the waveform-recognition process further comprises a step of checking if the slope of the second segment is larger than a third value.

12. The dynamic fault detection method of claim 9, wherein the waveform-recognition process further comprises a step of checking if the first segment is directly connected to the third segment.

13. The dynamic fault detection method of claim 9, wherein the waveform-recognition process further comprises a step of checking if the second segment is directly connected to the third segment.

14. The dynamic fault detection method of claim 8, wherein the data-diagnosing process comprises the steps of:

checking if the value of the effective waveform in the effective region is smaller than a lower limit, and generating the alarm signal if the checking result is true; and

checking if the value of the effective waveform in the effective region is larger than an upper limit, and generating the alarm signal if the checking result is true.

15. The dynamic fault detection method of claim 8, further comprising a step of setting a lower limit and an upper limit.