Memory fault models and testing
Abhilash Kaushal, Freescale
EDN (June 29, 2015)
A different set of fault models and testing techniques is required for memory blocks vs. logic. MBIST algorithms that are used to detect faults inside memory are based upon these fault models. This article discusses different types of memory fault models.
Memory fault models – Single cell faults
Stuck at (SAFs): Stuck at faults in memory is the one in which the logic value of a cell (or line in the sense amplifier or driver) is always 0 or 1.

Left: Write operation state diagram of a good memory cell; Right: State diagram for s-a-0 and s-a-1 memory cell
Transition Faults (TFs): In transition faults a cell fails to make a (0 to 1) transition or a (1 to 0) transition when it is written; up transition fault is denoted as <0w1/0/- > and a down transition fault is denoted as < 1w0/1/- >

State diagram for transition faults
Write destructive faults (WDFs): A non transition write operation in a memory cell causes the cell to flip. There are two types of Write destructive faults:
1) Memory cell in state 0, write 0 on it. Cell becomes 1. Denoted as <0w0/1/->
2) Memory cell in state 1, write 1 on it. Cell becomes 0.Denoted as <1w1/0/->

State diagram for write destructive faults
To read the full article, click here
Related Semiconductor IP
- UCIe D2D Adapter & PHY Integrated IP
- Low Dropout (LDO) Regulator
- 16-Bit xSPI PSRAM PHY
- MIPI CSI-2 CSE2 Security Module
- ASIL B Compliant MIPI CSI-2 CSE2 Security Module
Related Articles
- Verifying embedded software functionality: fault localization, metrics and directed testing
- Accurate memory models for all
- Memory Testing - An Insight into Algorithms and Self Repair Mechanism
- QA Automation Testing with Container and Jenkins CICD
Latest Articles
- RISC-V Functional Safety for Autonomous Automotive Systems: An Analytical Framework and Research Roadmap for ML-Assisted Certification
- Emulation-based System-on-Chip Security Verification: Challenges and Opportunities
- A 129FPS Full HD Real-Time Accelerator for 3D Gaussian Splatting
- SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation
- TensorPool: A 3D-Stacked 8.4TFLOPS/4.3W Many-Core Domain-Specific Processor for AI-Native Radio Access Networks