Advanced Proprietary Analysis via CSV Raw Data Export and Python Integration

Advanced Proprietary Analysis via CSV Raw Data Export and Python Integration

The Ultimate Freedom of "System Independence"

When implementing a predictive maintenance system, there is a checkpoint just as critical as "saving raw data": "Can that data be freely taken outside the system?"


Currently, many IoT systems fall into a state of "vendor lock-in," confining data within proprietary cloud services or dedicated apps and not easily allowing analysis by external tools. In such cases, judgment can ultimately only be made within the manufacturer's black box.


conanair breaks through this closed industry norm and completely "opens data to the hands of field engineers."

CSV Export Function for Raw Waveform Data

Illustration of building a predictive maintenance AI model by performing advanced proprietary analysis in Python using raw vibration data (CSV) acquired from conanair

Illustration of building a predictive maintenance AI model by performing advanced proprietary analysis in Python using raw vibration data (CSV) acquired from conanair

conanair allows you to download raw waveform data—lightened and saved via patented technology (under-sampling)—in the universal "CSV format" at any time. No installation of special proprietary software or additional license fees for data output are required.


This ensures that the acquired data is not tied to a platform and truly becomes the "asset of the customer (field engineer)."

Advanced Proprietary Analysis and Application to Machine Learning (AI) via Python

Clean raw data exported in CSV format is not limited to graphing or simple confirmation in Excel; it can be integrated extremely smoothly with "Python," the mainstream programming language in data science today.


By engineers themselves utilizing Python, infinite extensibility is born:


Examples of proprietary analysis via Python integration

  • Proprietary Frequency Analysis (FFT): By utilizing libraries such as SciPy, you can freely execute and verify FFT (Fast Fourier Transform) with parameters optimized for your own equipment, without depending on fixed tools provided by the manufacturer.
  • Construction of Machine Learning (AI) Models: You can use the exported raw data as training data to develop and operate "original judgment algorithms" or AI models that learn anomaly patterns specific to your company using Scikit-learn or TensorFlow.
  • Seamless Integration into Existing Systems: Using Pandas, you can freely format and process data to integrate it into higher-level IoT platforms or BI tools already in operation at your company.

Completion of "Open Predictive Maintenance" to Prevent Black Boxes

"Do not discard waveforms via edge processing (Part 1)"
"Keep lightweight raw data via under-sampling and clearly state its limits (Part 2)"
"And freely open that data via CSV (this article)"


This is the complete picture of "Open Predictive Maintenance that does not create a black box" proposed by conanair.


We do not confine our customers within a convenient black box. We are convinced that continuing to provide "reliable Raw Data"—the material to maximize the deep insight and technical prowess of field engineers—is the true first step of predictive maintenance.


30-Day Free Trial & Inquiry

Try Conan Air for free for 30 days. Here is what our users are saying:
  • Easy installation for immediate use
  • No app required; operate via web browser
  • No cloud required for fully automatic measurement
  • Affordable, including dedicated software
Free Trial
Try equipment anomaly detection and predictive maintenance for free. Please feel free to contact us.

30-Day Free Trial & Inquiry

Try Conan Air for free for 30 days. Here is what our users are saying:
  • Easy installation for immediate use
  • No app required; operate via web browser
  • No cloud required for fully automatic measurement
  • Affordable, including dedicated software
Try equipment anomaly detection and predictive maintenance for free. Please feel free to contact us. Free Trial

 

Please contact NSXe for any issues regarding facility maintenance

Company Name NSXe Co.Ltd - Nakayama Hydrothermal Industry Co., Ltd.
Head Office 7686-10 Hirano-cho, Suzuka, Mie513-0835, Japan zip code 513-0835
Phone +81-90-2189-1398
FAX +81-59-379-4704
Business Hours 8:00~17:00
Office Regular

Holiday

Saturday afternoons, Sundays and public holidays
URL https://conanair.com/

Please contact NSXe for any issues regarding facility maintenance

Company Name NSXe Co.Ltd - Nakayama Hydrothermal Industry Co., Ltd.
Head Office 7686-10 Hirano-cho, Suzuka, Mie513-0835, Japan zip code 513-0835
TEL +81-90-2189-1398
FAX +81-59-379-4704
Business Hours 8:00~17:00
Office Regular

Holiday

Saturday afternoons, Sundays and public holidays
URL https://conanair.com/