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  6. Development and operation of a blade breakage detection system based on motor current values.

Development and operation of a blade breakage detection system based on motor current values.

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last updated:Feb 06, 2026

中山水熱工業
中山水熱工業
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Introduction of examples of abnormal detection system construction using Conan Desk.

Detection of tool breakage in machine tools has become widespread with systems that physically detect whether the cutting edge is present. While systems targeting drills and taps have been applied in production environments, detecting blade breakage in metal saws is physically challenging, and detection methods using photoelectric tubes have issues with accuracy. This document presents research results where the judgment logic was implemented by customizing the standard software of the Conan-Desse waveform analysis device. [Contents] ■ Introduction ■ Target Equipment ■ Understanding Cycle Waveforms and Processing Loads ■ Summary ■ Future Challenges *For more details, please refer to the PDF document or feel free to contact us.

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Development and operation of a blade breakage detection system based on motor current values.

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  • Chuo Mountain Water Heat Industry: Contributing to the maintenance and upkeep of factory equipment through the construction of digital twins for Wi-Fi vibration sensors and piping and machinery installation.
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【Other Publication Contents (Excerpt)】 ■Target Equipment - Configuration of NC 4-axis metal saw equipment - Measuring instruments ■Understanding Cycle Waveforms and Processing Loads - Numerous production cycle waveform groups - Waveform during blade breakage - Using processing load as an indicator - Using sudden changes from the immediate previous value of processing load as an indicator *For more details, please refer to the PDF document or feel free to contact us.

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Development and operation of a blade breakage detection system using motor current values in the NC metal groove process.

Development and operation of a blade breakage detection system using motor current values in the NC metal groove process.

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"Conandesse" Measurement Monitoring Case Study - Waveform Analysis

"Conandesse" Measurement Monitoring Case Study - Waveform Analysis

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Technical Data + Manga Data: Conandesse Waveform Realignment & Timing Analysis

Technical Data + Manga Data: Conandesse Waveform Realignment & Timing Analysis

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[Case Study Material] Application Case Collection of the Waveform Analysis Device 'conandesse'

[Case Study Material] Application Case Collection of the Waveform Analysis Device 'conandesse'

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中山水熱工業

中山水熱工業

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Our company, headquartered in Suzuka City, Mie Prefecture, has a history of over 50 years and contributes to the maintenance and upkeep of factory equipment through two business divisions: the digital twin construction division utilizing our self-developed Wi-Fi vibration meter, and the piping and mechanical equipment construction division for factory equipment support. - Digital Twin Construction Division By combining INTEGNANCE VR from Brown Reverse Co., Ltd., which represents factories in a virtual space and realizes the digital transformation (DX) and digitization of maintenance operations, with Conan Air, we can create 3D data of all equipment and piping within the plant. By incorporating Wi-Fi vibration sensors, we can establish a labor-saving system for maintenance management using digital twins and generative AI. All safety management can be conducted on a computer monitor, enabling predictive maintenance to prevent equipment troubles before they occur, thus achieving workforce reduction and decreased man-hours. - Piping and Mechanical Equipment Construction Division Based on our extensive experience and know-how, we excel in providing prompt and careful construction, detailed responses across various fields, and high cost performance. We primarily focus on mechanical equipment construction centered around piping, while also integrating and managing operations related to electrical, instrumentation, control systems, painting, insulation, construction, and civil engineering across multiple fields.

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