Rotary Machine Diagnostic Aid System with Automatic Signal Interpretation
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Solution Overview
Problem
Current diagnostic systems for industrial rotating machines require specialized expertise and resources, making it difficult and costly to maintain and predict breakdowns, especially for inexperienced users, due to the need for manual data analysis and restricted access.
Innovation Solution
A diagnostic aid system with a base support and signal reception means that automatically interprets raw operating parameters and generates a diagnosis, accessible through an interactive interface, allowing users to access different diagnostic levels without specific qualifications, and includes a medium with operating software for computer readability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data analysis and restricted access are used in diagnostic systems, then measurement precision and reliability are improved, but device complexity and ease of operation worsen
Solution Approach 1:
The patent introduces an intermediary processing layer between the sensors and the user interface. This layer automatically processes raw sensor data, performs diagnostic analysis, and presents results in an easily interpretable format. The intermediary handles the complex data analysis tasks while providing a simple interface to end users, thus maintaining measurement precision while improving ease of operation.
Solution Approach 2:
The diagnostic system performs self-diagnosis and automatic data interpretation without requiring expert user intervention. The system automatically collects sensor data, analyzes operating parameters, generates diagnostic reports, and identifies potential failures on its own. This self-service capability maintains high diagnostic accuracy while making the system accessible to non-expert users.
2Measurement precision
If specialized expertise and manual analysis are required, then measurement precision is improved, but loss of time and productivity worsen
Solution Approach 1:
The patent replaces the mechanical process of manual expert analysis with an automated electronic/digital system. Sensors continuously monitor machine parameters, and a computer-based diagnostic engine automatically processes the data, performs pattern recognition, and generates diagnostic conclusions. This substitution eliminates the time-consuming manual analysis step while maintaining or even improving diagnostic accuracy through consistent automated evaluation.
Solution Approach 2:
The diagnostic system operates continuously, with sensors monitoring machine parameters in real-time and the diagnostic engine continuously analyzing the data stream. This continuous operation allows the system to detect issues as they develop rather than requiring periodic manual inspections, significantly reducing the time loss associated with diagnostic activities while maintaining high measurement precision through constant surveillance.
3Reliability
If accredited users with access rights are required, then reliability is improved, but ease of operation and productivity worsen
Solution Approach 1:
The diagnostic system performs self-evaluation and self-reporting, generating reliable diagnostic conclusions without requiring authenticated expert users. The system's automated diagnostic engine applies consistent analysis algorithms to sensor data, producing reliable results that can be accessed by any authorized user through a simple interface. This eliminates the need for specialized user credentials while maintaining diagnosis reliability through automated consistency.
4Measurement precision
If complex connection and configuration procedures are required, then measurement precision is improved, but ease of operation and loss of time worsen
Solution Approach 1:
The diagnostic system performs automatic self-configuration upon installation. The sensors automatically connect to the diagnostic engine, parameter ranges are automatically calibrated, and the system automatically identifies the monitored machine components. This self-configuration process eliminates complex manual setup procedures while maintaining data accuracy through automated calibration routines and factory-preconfigured analysis parameters.
Data Source
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AI summary
The invention relates to a system (100) for assisting with the diagnosis of the operating condition of at least one industrial rotary machine (M1, M2, M3), consisting of an industrial electric fan unit, or an industrial motorised pump unit including a pumping wheel, said diagnosis assistance system (100) including a base support (50) and a means (10) for receiving signals (S1, S2, S3) secured to the base mounting (50), the means (10) for receiving signals (S1, S2, S3) being designed such as to receive signals (S1, S2, S3) representing raw values (6) of at least one operating parameter of the rotary machine (M1, M2, M3), characterised in that the system (100) also includes a means (20) for interpreting the operating condition designed such as to automatically interpret the raw values (6) received and to generate a diagnosis (De) of the operating condition of the rotary machine (M1, M2, M3) in accordance with said raw values (6). The invention can be used in the field of rotary-machine maintenance.