Radiation Imaging Apparatus Life Prediction via Degradation Estimation
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Solution Overview
Problem
Existing radiation imaging apparatuses face degradation due to radiation irradiation, leading to decreased image quality and requiring frequent replacements, which can result in downtime and increased costs.
Innovation Solution
A radiation imaging apparatus equipped with an acquisition unit to capture images, an estimation unit to assess the degradation level based on the acquired images, and a prediction unit to forecast the apparatus' lifespan by analyzing the degradation trend.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If radiation imaging apparatus is used for prolonged period, then operational experience and data accumulation improve, but switching elements degrade due to radiation irradiation causing decreased image quality
Solution Approach 1:
The system performs preliminary evaluation of switching element characteristics (threshold voltage, on-off ratio) and predicts future degradation trends before actual image quality deteriorates. By estimating remaining life based on current degradation rates, the system enables proactive replacement scheduling that prevents image quality degradation while maximizing operational duration.
2Reliability
If radiation imaging apparatus is replaced frequently to maintain image quality, then image quality is maintained, but downtime and operational costs increase
Solution Approach 1:
The system continuously monitors switching element characteristics and compares actual degradation against predicted degradation models. This feedback mechanism allows the system to dynamically adjust replacement timing predictions, replacing apparatus only when predicted remaining life indicates actual quality degradation is imminent, thereby minimizing unnecessary replacements and associated downtime.
3Measurement precision
If threshold voltage measurement is performed to determine life timing, then life determination capability is achieved, but future life prediction capability is lost
Solution Approach 1:
The system performs preliminary characterization of switching element degradation behavior by measuring threshold voltage and on-off ratio at multiple time points. Using these initial measurements, the system builds predictive models that estimate future degradation trends and calculate remaining life, enabling both accurate current assessment and future prediction capabilities simultaneously.
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 accurate prediction of the radiation imaging apparatus' lifespan, allowing for timely replacement and minimizing downtime, thereby improving operational efficiency and reducing maintenance costs.
Implementation Method 1
each of which has a photoelectric conversion element such as a p-intrinsic-n (PIN) diode
Data Source
AI summary
A radiation imaging apparatus includes an acquisition unit configured to acquire an image from an imaging unit having a plurality of pixels for detecting a radiation, an estimation unit configured to estimate a degradation degree of the radiation imaging apparatus based on the image acquired by the acquisition unit, and a prediction unit configured to predict a life of the radiation imaging apparatus based on a prediction of a transition of the degradation degree of the radiation imaging apparatus acquired by the estimation unit.