Determining a total length for conductive whiskers in computer systems

• US 8,140,282 B2
• Filed: 05/23/2008
• Issued: 03/20/2012
• Est. Priority Date: 05/23/2008
• Status: Active Grant

• Current Assignee: Oracle America, Inc. (Oracle Corporation)
• Original Assignee: Oracle America, Inc. (Oracle Corporation)
• Inventors: McElfresh, David K., Gross, Kenny C., Dhanekula, Ramakrishna C.
• Primary Examiner(s): Teixeira Moffat, Jonathan C
• Assistant Examiner(s): SUN, XIUQIN
• Application Number:
  US12/126,612
• Publication Number:
  US 20090292490A1
• Time in Patent Office: 1,397 Days
• Field of Search: 702/66, 702/58, 117/205, 439/492
• US Class Current: 702/66
• CPC Class Codes: G01R 31/002 where the device under test is an electronic circuit
• CPC Class Codes: G01R 31/2812 Checking for open circuits or shorts, e.g. solder bridges; Testing conductivity, resistivity or impedance of connections G01R31/66

Abstract

One embodiment of the present invention provides a system that determines a total whisker length for conductive whiskers on a circuit in a computer system. During operation, a target electromagnetic signal radiating from the computer system is monitored. Then, the target electromagnetic signal is analyzed to determine the total whisker length for conductive whiskers on the circuit in the computer system.

Claims

1. A method for determining a whisker length for conductive whiskers on a circuit in a computer system, comprising:

monitoring a target electromagnetic signal radiating from the computer system; and

analyzing the target electromagnetic signal to determine the whisker length for conductive whiskers on the circuit in the computer system, wherein a whisker comprises a fiber-like structure growing from at least one surface in the computer system.

2. The method of claim 1, wherein prior to monitoring the target electromagnetic signal, the method further comprises:

monitoring a reference electromagnetic signal radiating from the computer system;

generating a reference electromagnetic-signal fingerprint from the reference electromagnetic signal; and

building a pattern-recognition model based on the reference electromagnetic-signal fingerprint.

3. The method of claim 2, wherein the pattern-recognition model includes a nonlinear, nonparametric regression model.

4. The method of claim 2, wherein analyzing the target electromagnetic signal includes:

generating a target electromagnetic-signal fingerprint from the target electromagnetic signal;

feeding the target electromagnetic-signal fingerprint into the pattern-recognition model;

producing an estimated electromagnetic-signal fingerprint using the pattern-recognition model; and

comparing the target electromagnetic-signal fingerprint to the estimated electromagnetic fingerprint to determine the whisker length, wherein the whisker length is related to a total whisker length.

5. The method of claim 4, wherein generating the reference electromagnetic-signal fingerprint includes:

generating a frequency-domain representation of the reference electromagnetic signal;

selecting a set of frequencies from the frequency-domain representation of the reference electromagnetic signal; and

forming the reference electromagnetic-signal fingerprint using the set of frequencies.

6. The method of claim 5, wherein selecting the set of frequencies includes:

dividing the frequency-domain representation of the reference electromagnetic signal into a plurality of frequencies;

constructing a reference electromagnetic-signal amplitude-time series for each of the plurality of frequencies based on the reference electromagnetic signal collected over a predetermined time period;

computing cross-correlations between pairs of reference electromagnetic-signal amplitude-time series associated with pairs of the plurality of frequencies;

computing an average correlation coefficient for each of the plurality of frequencies; and

selecting the set of frequencies based on the average correlation coefficients.

7. The method of claim 6, wherein building the pattern-recognition model based on the reference electromagnetic-signal fingerprint includes:

training the pattern-recognition model using the reference electromagnetic-signal amplitude-time series associated with the set of frequencies as inputs to the pattern-recognition model.

8. The method of claim 5, wherein the reference electromagnetic signal is collected from the computer system while the computer system is executing a load script, wherein the load script includes a specified sequence of operations.

9. The method of claim 8, wherein the load script includes a dynamic load script.

10. The method of claim 5, wherein generating the target electromagnetic-signal fingerprint includes:

transforming the target electromagnetic signal to a frequency-domain representation;

for each frequency in the set of frequencies, generating a target electromagnetic-signal amplitude-time series based on the frequency-domain representation of the target electromagnetic signal collected over time; and

forming the target electromagnetic-signal fingerprint using the target electromagnetic-signal amplitude-time series associated with the set of frequencies.

11. The method of claim 10, wherein comparing the target electromagnetic-signal fingerprint to the estimated electromagnetic fingerprint includes:

for each frequency in the set of frequencies,

computing a residual signal between a corresponding monitored electromagnetic-signal amplitude-time series in the target electromagnetic-signal fingerprint and a corresponding estimated electromagnetic-signal amplitude-time series in the estimated electromagnetic-signal fingerprint; and

detecting anomalies in the residual signal by using sequential detection, wherein the anomalies indicate a deviation of the monitored electromagnetic-signal amplitude-time series from the estimated electromagnetic-signal amplitude-time series.

12. The method of claim 11, wherein determining the total whisker length includes monitoring a change in the detection of anomalies in one or more of the monitored electromagnetic-signal amplitude-time series over time.

13. The method of claim 11, wherein the sequential detection includes a sequential probability ratio test.

14. The method of claim 11, wherein determining the total whisker length includes measuring a rate of the detection of anomalies for a predetermined total whisker length.

15. The method of claim 2, wherein the whisker length is known when the reference electromagnetic signal is monitored.

16. The method of claim 1, further comprising:

monitoring a reference electromagnetic signal, wherein the whisker length is known when the reference electromagnetic signal is monitored; and

wherein analyzing the target electromagnetic signal to determine the whisker length includes comparing a derived target electromagnetic signal to a derived reference electromagnetic signal wherein the derived target electromagnetic signal is generated using information from the target electromagnetic signal and the derived reference electromagnetic signal is generated using information from the reference electromagnetic signal.

17. A computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for determining a total whisker length for conductive whiskers on a circuit in a computer system, the method comprising:

monitoring a target electromagnetic signal radiating from the computer system; and

analyzing the target electromagnetic signal to determine the total whisker length for conductive whiskers on the circuit in the computer system, wherein a whisker comprises a fiber-like structure growing from at least one surface in the computer system.

18. The computer-readable storage medium of claim 17, wherein prior to monitoring the target electromagnetic signal, the method further comprises:

monitoring a reference electromagnetic signal radiating from the computer system;

generating a reference electromagnetic-signal fingerprint from the reference electromagnetic signal; and

building a pattern-recognition model based on the reference electromagnetic-signal fingerprint.

19. An apparatus for determining a total whisker length for conductive whiskers on a circuit in a computer system, comprising:

a monitoring mechanism configured to monitor a target electromagnetic signal radiating from the computer system; and

an analyzing mechanism configured to analyze the target electromagnetic signal to determine the total whisker length for conductive whiskers on the circuit in the computer system, wherein a whisker comprises a fiber-like structure growing from at least one surface in the computer system.

20. The apparatus of claim 19, wherein:

the monitoring mechanism is further configured to monitor a reference electromagnetic signal, wherein the total whisker length is known when the reference electromagnetic signal is monitored; and

wherein the analyzing mechanism is further configured to analyze the target electromagnetic signal to determine the total whisker length by comparing a derived target electromagnetic signal to a derived reference electromagnetic signal wherein the derived target electromagnetic signal is generated using information from the target electromagnetic signal and the derived reference electromagnetic signal is generated using information from the reference electromagnetic signal.