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[Development Case] Predictive Maintenance System

[Development Case] Predictive Maintenance System

By using various analysis methods, we improve accuracy! Here are examples of development in the measurement field.

We will introduce a case study of a measurement and analysis system that collects production information obtained from equipment to predict equipment failure signs and quality degradation signs. Based on the input information, analysis is performed using FFT (Fast Fourier Transform) and MT (Mahalanobis-Taguchi Method). After implementation, we improved accuracy by using various analysis methods, moving from a simple threshold (such as upper and lower limits) judgment method. 【Case Overview】 ■Industry: Manufacturing ■Field: Measurement Field ■Development Environment ・PLC: KEYENCE PLC (KV Series) ・Touch Panel: KEYENCE VT Series ・Peripheral Equipment: KEYENCE Measuring Instruments, MELSEC PLC *For more details, please refer to the PDF document or feel free to contact us.

  • Company：TCC
  • Price：Other
  • Other core systems
  • Predictive Maintenance System

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[Case Study] Predictive Maintenance System

[Case Study] Predictive Maintenance System

Set up the collection and analysis of each data, and it is also possible to display input signals from the vibration sensor!

In the manufacturing industry, we will introduce an example of a solution when implementing a "predictive maintenance system" for equipment maintenance. It is possible to collect and analyze data from existing PLCs and data loggers. Data can also be collected and analyzed from input signals from vibration sensors, with support for up to 12 channels. 【Implementation Points】 ■ Detect abnormalities in equipment and utilize them for maintenance ■ It is also possible to use information collected from currently used equipment ■ The gathered information is aggregated and presented as graphs and statistical data, making it easier for managers to grasp daily conditions *For more details, please refer to the PDF document or feel free to contact us.

  • Company：TCC
  • Price：Other
  • Embedded system design service
  • Other information systems
  • Other operation management software
  • Predictive Maintenance System

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[Case Study] Manufacturing Industry (Connectors, Plug Jacks, Switches, etc.)

[Case Study] Manufacturing Industry (Connectors, Plug Jacks, Switches, etc.)

Paperless transformation and easy data visualization! An increase in expectations for achieving accurate predictive maintenance.

We sought a more stable maintenance system for our production equipment to ensure the smooth progress of manufacturing parts across a wide range of genres. To avoid equipment troubles, we decided to implement 'MENTENA' as a key measure for thorough predictive maintenance. The transition to a paperless system has been progressing smoothly, making data accumulation and analysis significantly easier. Additionally, we can now confirm more detailed information organized in chronological order, eliminating any oversights. [Challenges] - Inspection information for maintenance was primarily recorded by hand on check sheets, leading to cumbersome tasks. - The format of historical data was 70% paper and 30% Excel, which meant it was not functioning as a useful database. - It was difficult to schedule and check the progress of maintenance tasks, resulting in inaccurate analyses necessary for predictive maintenance. *For more details, please refer to the PDF document or feel free to contact us.*

  • Production Management System
  • Predictive Maintenance System

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[Performance Introduction] Predictive Maintenance System AE Sensor Monitoring Predictive Maintenance System Implementation

[Performance Introduction] Predictive Maintenance System AE Sensor Monitoring Predictive Maintenance System Implementation

A case of visualizing the metal fatigue of the main shaft to prevent sudden line stoppages.

We would like to introduce a case where we received a report from an existing customer about a line stoppage due to a spindle breakage in a reversing device, resulting in significant production delays. In response, we proposed a system that collects friction data between metals using AE sensors, allowing for replacement before a breakdown occurs. We focused on preventing sudden equipment failures and enabling the planning of regular maintenance schedules in advance, which led to the decision to place an order with our company and proceed with the construction. 【Case Overview】 ■ Industry: General Machinery (Set Manufacturer) ■ Service: Automated Machines and Conveying Equipment ■ Region: Kanto *For more details, please download the PDF or feel free to contact us.

  • Other contract services
  • Predictive Maintenance System

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