Part Number: MSPM0G5187
Other Parts Discussed in Thread: , C2000WARE
Hi experts,
We are evaluating the system under the following environment; however, the results displayed on the Live Preview screen are not as expected.
Even though no modifications have been made to the motor, the classification result is shown as “Other” instead of “Normal.”

Could you please point out if there are any mistakes in our procedure?
Also, is this behavior already reported in the errata mentioned below?
:Edge AI Studio for Time Series - Quick Start Guide
■ Evaluation Environment
- Hardware: LP-MSPM0G5187
- Motor: SUNON EF80251S1-1000U-A99 (powered either by an external 12 V supply or by 5 V from the EVM)
- Sensor: ADXL355
- CCS: v20.5.1
- M0 SDK: v2.10.00.04
- Sample project: motor_fault_live_preview_LP_MSPM0G5187_nortos_ticlang
- Compiler: 4.00.04.00
- Edge AI Studio for Time Series: v1.6.1
- AI sample project: Fan Imbalance Classification
■ Observation
The result does not change regardless of which of the following methods is used:
Pattern 1:
Build motor_fault_live_preview_LP_MSPM0G5187_nortos_ticlang in CCS and flash the generated .out file
Pattern 2:
Train the model based on Fan Imbalance Classification with default settings, and then program the device using “Load Program”
In addition, we captured our own data using motor_fault_data_capture_LP_MSPM0G5187_nortos_ticlang, and the data appears consistent with the default “Normal” dataset.
When the fan blades are touched with a finger, “Imbalance” is detected, which confirms that the sensor is operating properly.
The result remains the same even when using a different PC.
We also tested several different types of motors.
■ Additional Findings (from comparison using F28P550)
The following issues were identified during comparative investigation with F28P550:
- In the wiring diagram at the URL below, PICO and POCI are swapped, and SCLK is connected to IO.14.
tinyml-tensorlab/tinyml-modelzoo/examples/fan_blade_fault_classification at main · TexasInstruments/tinyml-tensorlab · GitHub - The package eAI_data_acq_dap_f28p55x.zip at the URL below cannot connect to the COM port (SCIA/B) in Edge AI Studio for Time Series.
tinyml-tensorlab/tinyml-modelzoo/examples/fan_blade_fault_classification/assets/eAI_data_acq_dap_f28p55x.zip at main · TexasInstruments/tinyml-tensorlab · GitHub - When performing training on F28P550, the tool attempts to access the directory under C:\ti, and therefore does not recognize the already-installed C2000Ware in a different location.
- When loading a program generated from training on F28P550, the COM connection is established, but the sensor does not operate.
Best regards,
O.H






