Charged Particle Beam Device Real-Time Abnormality Monitoring
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Solution Overview
Problem
Existing process monitoring tools in semiconductor manufacturing fail to detect device abnormalities in real-time, leading to potential overlooking of product defects and increased process troubles.
Innovation Solution
Implementing a system that monitors operating status by comparing current values with historical data, providing alerts and feedback to operators when deviations exceed preset thresholds, allowing for immediate countermeasures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If process monitoring tools are used to detect abnormalities, then manufacturing quality can be maintained, but device abnormalities are not detected in real-time leading to overlooked defects
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing operation status data during normal device operation. Historical data is pre-processed and organized in databases, establishing a baseline of normal operation patterns before abnormalities occur. This preliminary data preparation enables rapid comparison and detection when deviations occur, eliminating time delays in abnormality detection.
Solution Approach 2:
The system implements continuous feedback by automatically comparing real-time operation status data against historical data and predetermined thresholds. When abnormalities are detected, the system provides immediate feedback through notifications to operators or automated responses. This closed-loop feedback mechanism ensures real-time detection and response to device abnormalities, maintaining defect detection reliability without time delays.
2Reliability
If real-time monitoring and comparison systems are implemented, then early detection of device deterioration is enabled, but system complexity increases
Solution Approach 1:
The monitoring system is segmented into distinct functional modules: data collection modules that gather operation status, data storage modules that organize historical records, comparison modules that analyze deviations, and notification modules that alert operators. Each module performs a specific function independently, simplifying the overall system architecture while enabling comprehensive real-time monitoring and early detection of device deterioration.
Solution Approach 2:
The system introduces data as an intermediary between the device operation and the monitoring analysis. Historical operation data serves as a mediator that bridges current status and past performance, enabling comparison without direct complex interactions. This intermediary data layer simplifies the monitoring logic by providing a standardized reference framework for detecting abnormalities.
3Loss of time
If continuous monitoring of operation status is performed, then device abnormalities can be detected early, but data processing requirements and storage needs increase
Solution Approach 1:
The system applies local quality by selectively monitoring and storing only critical operation status parameters that are relevant to device health and performance. Instead of collecting all possible data, the system identifies and focuses on key indicators such as temperature, pressure, vibration, or other device-specific parameters. This selective approach enables early abnormality detection while minimizing data storage requirements by capturing only the essential information needed for reliability monitoring.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables early detection of device performance deterioration, reducing the risk of defective products and minimizing process disruptions by providing timely feedback and adjustments.
Implementation Method 1
a sample to be observed is selected from a set of samples, and an electron beam is irradiated onto the sample
Data Source
AI summary
Provided is a charged particle beam device that prevents the increase in processing trouble caused by deterioration in the reviewing performance (e.g., overlooking of defects) by detecting an operation abnormality affecting the performance of the device or a possibility of such an abnormality in the middle of a processing sequence of a sample and giving a feedback in real time. In each processing step of the charged particle beam device, monitoring items representing the operating status of the device (control status of the electron beam, an offset amount at the time of wafer positioning, a defect coordinate error offset amount, etc.) are monitored during the processing sequence of a sample and stored as history information. In the middle of the processing sequence, a comparative judgment between the value of each monitoring item and the past history information corresponding to the monitoring item is made according to preset judgment criteria. When the width of fluctuation from the past history information deviates from a reference range, an alert is issued.