...
| Data Sets with Events | Data Sets with no Events | ||||||
|---|---|---|---|---|---|---|---|---|
<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="b0a408d48af87202-19ddfd2f-47d841cb-953d96d2-364c64e848a2a0b3190047b1"><ac:plain-text-body><![CDATA[ | IEPM | [[rar | ^datasets-with-events.rar]] 3.4 MB, [[zip | ^datasets-with-events.zip]] 3.6 MB | [[rar | ^datasets-with-no-events.rar]] 3.3 MB, [[zip | ^datasets-with-no-events.zip]] 3.5 MB | ]]></ac:plain-text-body></ac:structured-macro> |
...
The range of input parameters used for the comparative analysis are summarized below. Note that each algorithm requires a different set of parameters.
Input/Tuning parameters
Plateau Algorithm (PL)
History Buffer Length (H) | Trigger Buffer Length (T) | Threshold (th) | Sensitivity (s) |
|---|---|---|---|
240 | 6 - 45 | 0.10 - 0.70 | 1.0 - 2.8 |
Kalman Filters Method (KF)
Sensitivity (K) | Time Window (h) |
|---|---|
0.001 - 11.0 | 6 - 20 |
Holt Winter's Method (HW)
? | ? | ? | ? |
|---|---|---|---|
0.1 | 0.1 - 0.3 | 0.1 - 0.5 | 2.0 |
Adaptive Fault Detector (AFD)
Window Size (N) | ? | ? | No. of Training Data (Hn) |
|---|---|---|---|
20 | 0.95 | 0.0015 - 0.1 | 100 |
Decision Theoretic Approach (DTA)
History Buffer Length (N) | ? | ? | Median filter length ( n) |
|---|---|---|---|
30 - 90 | 0.01 - 0.34 | 0.99 | 100 |
ROC Results
CERN |
|
|---|---|
|
|