17970178. SYSTEM AND METHODS FOR MONITORING MACHINE HEALTH simplified abstract (Robert Bosch GmbH)
Contents
- 1 SYSTEM AND METHODS FOR MONITORING MACHINE HEALTH
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHODS FOR MONITORING MACHINE HEALTH - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEM AND METHODS FOR MONITORING MACHINE HEALTH
Organization Name
Inventor(s)
Sirajum Munir of PITTSBURGH PA (US)
Samarjit Das of WEXFORD PA (US)
SYSTEM AND METHODS FOR MONITORING MACHINE HEALTH - A simplified explanation of the abstract
This abstract first appeared for US patent application 17970178 titled 'SYSTEM AND METHODS FOR MONITORING MACHINE HEALTH
Simplified Explanation
The system described in the abstract is a sensor-based system that collects raw signals from a machine's environment, processes the signals, extracts features, classifies them, and outputs a heat map on an overlaid image of the environment.
- Sensors installed near a machine collect raw signals associated with the machine's environment.
- The system includes a processor that denoises the raw signals to obtain pre-processed signals.
- Features are extracted from the pre-processed signals and classified into normal, abnormal, or potential-abnormal classes.
- Fusion data is created by combining the features with the associated class and time-stamp data.
- The system outputs a heat map on an overlaid image of the environment.
Potential Applications
This technology could be applied in various industries such as manufacturing, healthcare, and transportation for predictive maintenance, anomaly detection, and monitoring of equipment health.
Problems Solved
This technology helps in early detection of abnormalities in machines, reducing downtime, preventing costly breakdowns, and improving overall operational efficiency.
Benefits
The system provides real-time monitoring, predictive maintenance, and improved decision-making based on the analysis of machine data.
Potential Commercial Applications
Potential commercial applications include industrial automation, predictive maintenance services, and equipment monitoring solutions.
Possible Prior Art
One possible prior art could be similar sensor-based systems used in industrial automation for machine health monitoring and predictive maintenance.
Unanswered Questions
How does the system handle real-time data processing?
The abstract does not provide details on the real-time processing capabilities of the system. It would be interesting to know how quickly the system can process and analyze the data to provide timely insights.
What types of sensors are compatible with the system?
The abstract does not specify the types of sensors used in the system. Understanding the compatibility of different sensor technologies with the system would be beneficial for potential users looking to implement the technology.
Original Abstract Submitted
A system that includes one or more sensors installed in proximity to a machine configured to collect raw signals associated with an environment of the machine, are multi-layer spatial data that include time-stamp data. The system may include a processor in communication with the sensors and programmed to receive one or more raw signals, denoise the one or more raw signals to obtain a pre-processed signal, extract one or more features from the pre-processed signals, classify the one or more features to an associated class, wherein the associated class includes one or more of a normal class, abnormal class, or a potential-abnormal class, create fusion data by fusing the one or more features utilizing the associated class and the time-stamp data, and output a heat map on an overlaid image of the environment.
