Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It is significant to identify the running-states by obtaining and analyzing the vibration signals to avoid the faults. , the state recognition system is built based on the feature extraction with Varying Scale (VS) theory and Hidden Semi-Markov model (HSMM) with the example of bushing abrasion on diesel engine. The veracity of state identification can be improved effectively by banding them together. According to experiment and simulation researches, it indicates that the veracity of identification is 97.5% in the 120 test samples after training with 80 training samples. It is satisfied for the demand to the engineering domain and it can be applied for vibration analysis for other complex machineries.
['Qiang Huang', 'Qiuping Huang', 'Jun Li']
I am writing a research paper on a idea State recognition system of mechanical equipment based on the VS theory and HSMM
[{"from": "human", "value": "I am writing a research paper on a idea State recognition system of mechanical equipment based on the VS theory and HSMM"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It is significant to identify the running-states by obtaining and analyzing the vibration signals to avoid the faults. , the state recognition system is built based on the feature extraction with Varying Scale (VS) theory and Hidden Semi-Markov model (HSMM) with the example of bushing abrasion on diesel engine. The veracity of state identification can be improved effectively by banding them together. According to experiment and simulation researches, it indicates that the veracity of identification is 97.5% in the 120 test samples after training with 80 training samples. It is satisfied for the demand to the engineering domain and it can be applied for vibration analysis for other complex machineries."}]