Minimize Switches in Monitored Stimuli
Feature Description
What is the purpose of this algorithm?
The Minimize Switches in Monitored Stimuli fault detection algorithm attempts to reduce the wear and tear on test equipment by reducing the number of input configurations required during the fault detection process. It does this using two Test Weightings that minimize the differences and maximize the similarities between the stimuli locations that are monitored for each test. This feature can be incorporated into other diagnostic algorithms (since this is the only predefined algorithm that attempts to minimize stimuli switches) by simply replicated the first two weightings from this algorithm.
How was this algorithm implemented?
The full set of test selection criteria for this algorithm are as follows:
1. Test Candidate Grouping 1 of 6: Non-Terminal BIT Tests
a) Candidate Test Types (3)
b) Weightings: uses algorithm defaults
c) Cutoffs: uses algorithm defaults
2. Test Candidate Grouping 2 of 6: Terminal BIT Tests
a) Candidate Test Types (3)
b) Weightings: uses algorithm defaults
c) Cutoffs: uses algorithm defaults
3. Test Candidate Grouping 3 of 6: Probe Tests
a) Candidate Test Types (1)
b) Weightings: uses algorithm defaults
c) Cutoffs: uses algorithm defaults
4. Test Candidate Grouping 4 of 6: Individual Net Functions
a) Candidate Test Types (1)
b) Weightings: uses algorithm defaults
c) Cutoffs: uses algorithm defaults
5. Test Candidate Grouping 5 of 6: Non-Terminal Output Flags
a) Candidate Test Types (1)
b) Weightings: uses algorithm defaults
c) Cutoffs: uses algorithm defaults
6. Test Candidate Grouping 6 of 6: Terminal Output Flags
a) Candidate Test Types (1)
b) Weightings: uses algorithm defaults
c) Cutoffs: uses algorithm defaults
1. Test Weighting 1 of 6: Different Number of Stimuli
a) Priority: 200
b) Entity: Number of Stimuli
c) Type: Count Differences
d) Domain: Test Stimuli
e) Best Equals: Lowest
2. Test Weighting 2 of 6: Same Number of Stimuli
a) Priority: 100
b) Entity: Number of Stimuli
c) Type: Count Similarities
d) Domain: Test Stimuli
e) Best Equals: Highest
3. Test Weighting 3 of 6: Sum Failure Probability
a) Priority: 50
b) Entity: Failure Probability
c) Type: Sum
d) Domain: Suspect Functions Proven
e) Best Equals: Highest
4. Test Weighting 4 of 6: Sum Failure Probability
a) Priority: 50
b) Entity: Failure Probability
c) Type: Sum
d) Domain: Suspect Functions Detected
e) Best Equals: Highest
5. Test Weighting 5 of 6: Sum Failure Probability
a) Priority: 30
b) Entity: Failure Probability
c) Type: Sum
d) Domain: Suspect Failure Modes Proven
e) Best Equals: Highest
6. Test Weighting 6 of 6: Sum Failure Probability
a) Priority: 30
b) Entity: Failure Probability
c) Type: Sum
d) Domain: Suspect Failure Modes Detected
e) Best Equals: Highest
C. Default Test Cutoffs (0)