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Stwin-BX1 operating temperature and CBM implementation

DDineshkumar
Associate

I'm working on CBM model for predicting maintenance on Motor and trying to analyze the bearing frequencies I have few questions to develop a solution based on STWIn-BX1

1) Mounting of the Board - is it necessary to mount the board on the Motor near the bearing?

2) the operating temperature range of the board is just up to 35degc, but the accelerometer and vibratory sensor is rated for 105degC, how to use the board for extended temperature range?

3) I currently use FP-data log firmware to capture the data and do analysis with math lab to predict the bearing frequencies. is there any way i can create a model to include the list of bearing frequencies that will enable me to create failure alerts based on magnitudes related to bearing and implement a decision tree.

Regards

Dinesh Kumar 

1 REPLY 1
SimonePradolini
ST Employee

Hello @DDineshkumar 

I suggest you to have a look at this video (link), which describes a demo setup for industrial anomaly detection and condition monitoring that we showcased at the latest Embedded World. I hope the video will be helpful and provide you with some insights for building your setup.

1) To achieve optimal vibration coupling, it's best to mount the board as close to the source as possible. Additionally, there are addon boards for the STWIN.box that are compatible with FP-SNS-DATALOG2 and designed specifically for your purpose: STEVAL-C34KAT1 and STEVAL-C34KAT2. I recommend creating your dataset using these boards as well.

2) Please note that ST STEVAL boards are intended for evaluation purposes only and are not guaranteed for industrial applications. You are free to conduct your experiments, but there are no warranties regarding temperature, humidity, or dust resistance.

3) FP-SNS-DATALOG2 is an excellent tool for creating your dataset. It allows you to label the data and convert the dataset using the HSDPython_SDK included in the Function Pack into CSV, TXT, or a pandas DataFrame format. Afterwards, you have the option to use your preferred open-source toolkit to build your model or to utilize NanoEdgeAI Studio and input the labeled data.

 

Best regards

Simone

 

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