1S3: Bearing Faults Diagnosis by Using Brain Wave with Machine Consciousness and Emotions

Madhavendra Saxena , Research Scholar, Poornima University


This paper introduces a new approach for predicting faults of Bearing with collaborative interfacing with machine, and Brain. There are five types of brain waves: alpha, beta, theta, delta, and gamma. These brain wave are obtain from electroencephalography (EEG) and magneto encephalography (MEG).Our brain uses its 8 ¬ 13 cycles per second. Theta waves are a medium amplitude, and medium frequency of 4 – 7.5 Hz. We have find theta in places where we hold memories, sensations and emotions.  In this paper, we also consider various perspectives related to cognitive and information science to conclude that consciousness is a physical phenomenon. Aurdino based vibration sensors is used to get the data of raw vibration and Matlab is used to do the signal processing.  Continuous Wavelet Transform (CWT) is used and signatures were made. This work is carried out for inner race and outer race faults. The signatures obtained are found to be unique for a particular type of bearing fault and can be used for identification of bearing fault from feature Extraction FFT, CWT and classification by ANN and EEMD resuts of 98.1 % . Distrust was thrown upon Mind’s instruments; All that it takes for reality’s shining coin proved fact, fixed inference, deduction clear, Firm theory, assured significance. The human feelings attached with emotions are listed below:
1. Love/Sringara  2. Joy/Hasya  3. Wonder/Adhuta  4. Courage/Vira  5. Peace/Shanta  6. Sadness/Karuna  7. Anger/Raudra 8. Fear/Bhayanaka 9. Disgust/Vibhasta
This paper also identifies four different areas of Machine consciousness research and its category:
MC1. Machine with the external behavior associated with consciousness.
MC2. Machine with the cognitive characteristics associated with consciousness.
MC3. Machine with an architecture that is claimed to be a cause or correlate of human consciousness.MC4. Phenomenally conscious Machines.

This classification starts with systems that replicate aspects of human behavior and moves on to systems that are attempting to create real artificial consciousness. Although there is a certain amount of overlap between these categories, they are a useful way of understanding.


Higher Education Professional Specialized In Mechanical Engineering To Develop Students At International Level. He Is Responsible For Creating Awareness Of The Benefits Of Proactive Condition Monitoring Through The Use Of Intelligent Maintenance System Such As Precision Alignment, Vibration Analysis, And Balancing To Increase Machine Reliability. Specializes In supply chain Marketing Activities Such As Public Relations, Marketing Strategy, Etc. Research Interest In Machine Consciousness ,Machine Emotions, Human Rotor Dynamics Molecular Dynamics And Machine Learning Techniques, Embedded With Human Machine Interface And Brain Machine Interface, Prior To Joining Academia In 2000 Held Several Maintenance Projects In Marble And Granite Processing.