def BiasScanAnalysis():
dictOfBiasScanFiles = GetBiasResultFiles()
numberOfTestedBoards = len(dictOfBiasScanFiles)
for PowerBoardID in dictOfBiasScanFiles:
#if not PowerBoardID == str(6):
# continue
print "PowerBoardID " + str(PowerBoardID)
for PowerUnitID in dictOfBiasScanFiles[PowerBoardID]:
print "PowerUnitID " + str(PowerUnitID)
for Load in dictOfBiasScanFiles[PowerBoardID][PowerUnitID]:
bsData = st.BiasScan()
bsData.readFile(
resultsFolder +
dictOfBiasScanFiles[PowerBoardID][PowerUnitID][Load])
vint, vslope, iint, islope = bsData.visualizeAndCheck()
dictOfBiasScanFiles[PowerBoardID][PowerUnitID][Load] = iint
if Load == "High":
print "Offset " + str(iint)
if dictOfBiasScanFiles[PowerBoardID]["Right"][
"High"] > -0.0075 and dictOfBiasScanFiles[PowerBoardID][
"Left"]["High"] > -0.0075:
print "Grade for this power board is: Inner Layers grade"
else:
print "Grade for this power board is: Outer Layers grade"
def BiasScanAnalysis:
for load in loads:
listOfPURBiasScanFiles = GetResultFiles(PowerUnitID = "Right", load = load, test = "BiasScan")
numberOfTestedBoards = len(listOfPURBiasScanFiles)
for bscanFile in listOfPURBiasScanFiles:
bsData = st.BiasScan()
bsData.readFile(bscanFile)
vint, vslope, ivslope, iint, islope = bsData.visualizeAndCheck()
resMeasured[load][0].append(ivslopes[0])
listOfPULBiasScanFiles = GetResultFiles(PowerUnitID = "Left", load = load, test = "BiasScan")
for bscanFile in listOfPULBiasScanFiles:
bsData = st.VoltageScan()
bsData.readFile(bscanFile)
vints, vslopes, ivslopes, iints, islopes = bsData.visualizeAndCheck()
resMeasured[load][1].append(ivslopes[0])
for i in range(2):
resMean[load][i] = sum(resMeasured[load][i])/len(resMeasured[load][i])
for i in range(2):
resSigma[load][i] = sum([(resMeasured[load][i][j] - resMean[load][i])**2 for j in range(len(resMeasured[load][i]))])/len(resMeasured[load][i])
