欧美成人免费电影,国产欧美一区二区三区精品酒店,精品国产a毛片,色网在线免费观看

參數(shù)資料
型號: MPSW64RL
廠商: ON SEMICONDUCTOR
元件分類: 小信號晶體管
英文描述: 500 mA, PNP, Si, SMALL SIGNAL TRANSISTOR, TO-92
封裝: PLASTIC, TO-226AE, 3 PIN
文件頁數(shù): 25/34頁
文件大小: 337K
代理商: MPSW64RL
9–19
Reliability and Quality Assurance
Motorola Small–Signal Transistors, FETs and Diodes Device Data
147
148
149
150
151
152
153
154
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39 40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
0
1
2
3
4
5
6
7
UCL = 152.8
= 150.4
LCL = 148.0
UCL = 7.3
= 3.2
LCL = 0
X
R
Figure 4. Example of Process Control Chart Showing Oven Temperature Data
Where D4, D3, and A2 are constants varying by sample size,
with values for sample sizes from 2 to 10 shown in the
following partial table:
n234
56789
10
D4
3.27
2.57
2.28
2.11
2.00
1.92
1.86
1.82
1.78
D3
*
0.08
0.14
0.18
0.22
A2
1.88
1.02
0.73
0.58
0.48
0.42
0.37
0.34
0.31
*For sample sizes below 7, the LCLR would technically be a negative number;
in those cases there is no lower control limit; this means that for a subgroup size
6, six ‘‘identical’’ measurements would not be unreasonable.
Control charts are used to monitor the variability of critical
process parameters. The R chart shows basic problems with
piece to piece variability related to the process. The X chart can
often identify changes in people, machines, methods, etc. The
source of the variability can be difficult to find and may require
experimental design techniques to identify assignable causes.
Some general rules have been established to help determine
when a process is OUT–OF–CONTROL. Figure 5 shows a
control chart subdivided into zones A, B, and C corresponding
to 3 sigma, 2 sigma, and 1 sigma limits respectively. In Figures
6 through 9 four of the tests that can be used to identify
excessive variability and the presence of assignable causes
are shown. As familiarity with a given process increases, more
subtle tests may be employed successfully.
Once the variability is identified, the cause of the variability
must be determined. Normally, only a few factors have a
significant impact on the total variability of the process. The
importance of correctly identifying these factors is stressed in
the following example. Suppose a process variability depends
on the variance of five factors A, B, C, D, and E. Each has a
variance of 5, 3, 2, 1, and 0.4, respectively.
Since:
σ tot =
σ A2 + σ B2 + σ C2 + σ D2 + σ E2
σ tot =
52 + 32 + 22 + 12 +(0.4)2 = 6.3
If only D is identified and eliminated, then:
σ tot =
52 + 32 + 22 + (0.4)2 = 6.2
This results in less than 2% total variability improvement. If
B, C, and D were eliminated, then:
σ tot =
52 + (0.4)2 = 5.02
This gives a considerably better improvement of 23%. If
only A is identified and reduced from 5 to 2, then:
σ tot =
22 + 32 + 22 + 12 + (0.4)2 = 4.3
Identifying and improving the variability from 5 to 2 yields a
total variability improvement of nearly 40%.
Most techniques may be employed to identify the primary
assignable cause(s). Out–of–control conditions may be
correlated to documented process changes. The product may
be analyzed in detail using best versus worst part comparisons
or Product Analysis Lab equipment. Multi–variance analysis
can be used to determine the family of variation (positional,
critical, or temporal). Lastly, experiments may be run to test
theoretical or factorial analysis. Whatever method is used,
assignable causes must be identified and eliminated in the
most expeditious manner possible.
After assignable causes have been eliminated, new control
limits are calculated to provide a more challenging variablility
criteria for the process. As yields and variability improve, it may
become more difficult to detect improvements because they
become much smaller. When all assignable causes have been
eliminated and the points remain within control limits for 25
groups, the process is said to in a state of control.
相關(guān)PDF資料
PDF描述
MPSW64ZL1 500 mA, PNP, Si, SMALL SIGNAL TRANSISTOR, TO-92
MPSW63RLRA 500 mA, PNP, Si, SMALL SIGNAL TRANSISTOR, TO-92
MPSW63RL 500 mA, PNP, Si, SMALL SIGNAL TRANSISTOR, TO-92
MQ82965BXU SPECIALTY MICROPROCESSOR CIRCUIT, CQFP164
MR8255A/B 24 I/O, PIA-GENERAL PURPOSE, QCC44
相關(guān)代理商/技術(shù)參數(shù)
參數(shù)描述
MPSW92 功能描述:兩極晶體管 - BJT 500mA 300V PNP RoHS:否 制造商:STMicroelectronics 配置: 晶體管極性:PNP 集電極—基極電壓 VCBO: 集電極—發(fā)射極最大電壓 VCEO:- 40 V 發(fā)射極 - 基極電壓 VEBO:- 6 V 集電極—射極飽和電壓: 最大直流電集電極電流: 增益帶寬產(chǎn)品fT: 直流集電極/Base Gain hfe Min:100 A 最大工作溫度: 安裝風(fēng)格:SMD/SMT 封裝 / 箱體:PowerFLAT 2 x 2
MPSW92_10 制造商:ONSEMI 制造商全稱:ON Semiconductor 功能描述:One Watt High Voltage Transistor
MPSW92G 功能描述:兩極晶體管 - BJT 500mA 300V PNP RoHS:否 制造商:STMicroelectronics 配置: 晶體管極性:PNP 集電極—基極電壓 VCBO: 集電極—發(fā)射極最大電壓 VCEO:- 40 V 發(fā)射極 - 基極電壓 VEBO:- 6 V 集電極—射極飽和電壓: 最大直流電集電極電流: 增益帶寬產(chǎn)品fT: 直流集電極/Base Gain hfe Min:100 A 最大工作溫度: 安裝風(fēng)格:SMD/SMT 封裝 / 箱體:PowerFLAT 2 x 2
MPSW92RLRA 功能描述:兩極晶體管 - BJT 500mA 300V PNP RoHS:否 制造商:STMicroelectronics 配置: 晶體管極性:PNP 集電極—基極電壓 VCBO: 集電極—發(fā)射極最大電壓 VCEO:- 40 V 發(fā)射極 - 基極電壓 VEBO:- 6 V 集電極—射極飽和電壓: 最大直流電集電極電流: 增益帶寬產(chǎn)品fT: 直流集電極/Base Gain hfe Min:100 A 最大工作溫度: 安裝風(fēng)格:SMD/SMT 封裝 / 箱體:PowerFLAT 2 x 2
MPSW92RLRAG 功能描述:兩極晶體管 - BJT 500mA 300V PNP RoHS:否 制造商:STMicroelectronics 配置: 晶體管極性:PNP 集電極—基極電壓 VCBO: 集電極—發(fā)射極最大電壓 VCEO:- 40 V 發(fā)射極 - 基極電壓 VEBO:- 6 V 集電極—射極飽和電壓: 最大直流電集電極電流: 增益帶寬產(chǎn)品fT: 直流集電極/Base Gain hfe Min:100 A 最大工作溫度: 安裝風(fēng)格:SMD/SMT 封裝 / 箱體:PowerFLAT 2 x 2
主站蜘蛛池模板: 凤台县| 定兴县| 曲麻莱县| 固阳县| 金阳县| 永德县| 迁西县| 大田县| 二连浩特市| 铜鼓县| 济南市| 新闻| 尖扎县| 潮安县| 浦城县| 龙井市| 巢湖市| 贡嘎县| 丹凤县| 洞头县| 镇安县| 化德县| 宾阳县| 万荣县| 宁化县| 定安县| 隆子县| 乐亭县| 伊春市| 尤溪县| 东平县| 永春县| 福鼎市| 乌审旗| 新平| 开远市| 汝州市| 五原县| 新竹市| 泸西县| 义马市|