发明授权
US06405148B1 Automatic semiconductor device classification system, method for classifying semiconductor device and recording medium having program for the system
失效
自动半导体器件分类系统,用于对半导体器件进行分类的方法和具有用于该系统的程序的记录介质
- 专利标题: Automatic semiconductor device classification system, method for classifying semiconductor device and recording medium having program for the system
- 专利标题(中): 自动半导体器件分类系统,用于对半导体器件进行分类的方法和具有用于该系统的程序的记录介质
-
申请号: US09389764申请日: 1999-09-02
-
公开(公告)号: US06405148B1公开(公告)日: 2002-06-11
- 发明人: Hideaki Hayashi , Yoshinobu Sawada , Toyohiko Takeda , Hironori Sonobe
- 申请人: Hideaki Hayashi , Yoshinobu Sawada , Toyohiko Takeda , Hironori Sonobe
- 优先权: JP10-313585 19981104
- 主分类号: G01R2728
- IPC分类号: G01R2728
摘要:
The present invention discloses an automatic semiconductor device classification system including a current measuring unit, a data memory, a processor connected to the data memory and the current measuring unit, and an output unit connected to the processor. Patterns of curves representing approximate I-V characteristics between predetermined electrodes of semiconductor devices are automatically determined and the approximate I-V characteristics are classified into predetermined categories. The data memory stores the discrete I-V relations, and further stores a first control voltage, a first threshold current value at the first control voltage, a second control voltage corresponding to the second control voltage. The processor includes an acquisition circuit, a comparison circuit and a classification circuit. In the acquisition circuit, the first decision current value at the first control voltage and the second decision current value at the second control voltage are obtained using the measured results. In the comparison circuit, the first decision current value is compared with the first threshold current value stored in the data memory and the second decision current value is compared with the second threshold current value stored in the data memory. In the classification circuit, the patterns of the curves representing the approximate I-V characteristics are determined and classification is performed.