Introducing a case study on detecting quality anomalies at the warning stage through the acquisition of analog data from sensors.
We would like to introduce a case study of detecting "quality abnormalities at the warning stage" through the acquisition of analog data from sensors we handle. When sensor conditions are obtained solely through parallel signals, it can be difficult to identify fine conditions, and issues may only become apparent after an error occurs (during quality abnormalities). At our automation and labor-saving device division, we can also acquire sensor data as analog data. This allows us to detect errors at the warning stage and perform repairs, thereby preventing sudden equipment failures. 【Case Overview】 ■Challenges - Issues become apparent only after an error occurs when sensor conditions are obtained solely through parallel signals. ■Results - Errors can be detected and repaired at the warning stage. - Preventing quality abnormalities and equipment issues in advance. - It is also possible to prevent sudden equipment failures. *For more details, please refer to the PDF document or feel free to contact us.
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Our company is engaged in the production of transport carts used in semiconductor factories, as well as assembly and inspection work for semiconductors. At the same time, we strive for technological innovation, and currently, our main business includes the manufacturing and sales of multifunctional taping machines and other semiconductor back-end equipment, as well as various precision sheet metal processing and machining. Moving forward, we will continue to respond swiftly to our customers' diverse needs, with the motto of "good products, at lower prices, faster," and all employees will work together day and night on research and development of technology.