IPC-TM-650 EN 2022 试验方法--.pdf - 第33页

Measurement Precision Study - Data Sheet ( continued) Condition C Reading Sample A verage 1 2 3 4 5 6 7 8 9 10 Condition D Reading Sample A verage 1 2 3 4 5 6 7 8 9 10 Condition E Reading Sample A verage 1 2 3 4 5 6 7 8 …

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Measurement Precision Study - Data Sheet
Condition A Reading
Sample
Average1 2 3 4 5 6 7 8 9 10
Condition B Reading
Sample
Average1 2 3 4 5 6 7 8 9 10
Measurement Precision Study - Information Sheet
IPC-TM-650
Page 6 of 10
Number
1.9
Subject
Measurement
Precision
Estimation
for
Variables
Data
Date
01/03
Revision
A
Test
Method
Parameter
Measured
Company
Name
of
Study
Organizer
Study
Completion
Date
Instrument
Measurement
Units
Lower
Specification
Limit,
LSL
Upper
Specification
Limit,
USL
Number
of
Conditions,
m
Number
of
Samples,
n
Number
of
Repeat
Readings,
k
1
2
3
4
5
Average
&
=
Range
凡二
1
2
3
4
5
Average
Xb
=
Range
rb
二
Measurement Precision Study - Data Sheet (continued)
Condition C Reading
Sample
Average1 2 3 4 5 6 7 8 9 10
Condition D Reading
Sample
Average1 2 3 4 5 6 7 8 9 10
Condition E Reading
Sample
Average1 2 3 4 5 6 7 8 9 10
Condition F Reading
Sample
Average1 2 3 4 5 6 7 8 9 10
IPC-TM-650
Page 7 of 10
Number
1.9
Subject
Measurement
Precision
Estimation
for
Variables
Data
Date
01/03
Revision
A
1
2
3
4
5
Average
Xc
=
Range
%
二
1
2
3
4
5
Average
X0
=
Range
R
。
=
1
2
3
4
5
Average
Range
1
2
3
4
5
Average
Range
Measurement Precision Study – Calculation Sheet
Sample Data
Sample 1 2 3 4 5 6 7 8 9 10
Average Part
Average
Condition Data
Condition A B C D E F G H I J
Average
Condition
Range
Variability Calculations
Topic Equation Calculation Answer
K Factors
Readings K1
Parts K3Operations K2
IPC-TM-650
Page 9 of 10
Number
1.9
Subject
Measurement
Precision
Estimation
for
Variables
Data
Date
01/03
Revision
A
Part
Average
Max
Part
Avg
^Max
=
Min
Part
Avg
^Min
~
Range
of
Part
Avgs
R
f
=
Average
Average
Range
R
=
Max
Condition
Avg
^Max
-
Min
Condition
Avg
义
Min
二
Range
of
Condition
Avgs
Rx
=
Repeatability
Sr=
Rx
K-]
/5.15
=
Reproducibility
「由尹修-普
蓝）
Sr-
5.15
Sr
二
Total
R&r
SR&r
=
dsw
+
SR&r
=
Product
Variation
Sp
=
Rp
x
K3
/
5.1
5
SP
二
Total
Variation
ST
=
“S
普
+
S[
+
=
2
4.565603
3
3.041937
4
2.501214
5
2.214101
6
2.03236
7
1
.904586
8
1
.808922
9
1
.734007
10
1.673164
2
3.652482
3
2.696335
4
2.299107
5
2.076613
6
1
.928839
7
1.819788
8
1
.739865
9
1
.672078
10
1.619497
2
3.652482
3
2.696335
4
2.299107
5
2.076613
6
1
.928839
7
1.819788
8
1.739865
9
1
.672078
10
1.619497