Machine Condition Indication Device for Analog Health Assessment
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Solution Overview
Problem
Current machine condition monitoring systems provide limited, discrete, and often unintelligible data to operators and production planners, requiring expert analysis and failing to offer timely, actionable insights for informed decision-making about machine productivity and maintenance.
Innovation Solution
A field-installable machine condition indication device that uses sensors to collect and process data on operating characteristics, producing an analog condition value (0.0-1.0) and fault-classification alerts, which are communicated to a central monitoring system for trend analysis and alert modification, enabling non-experts to interpret machine health and facilitating automated adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expert analysis and independent monitoring systems are used to assess machine condition, then measurement precision is improved, but device complexity and difficulty of operation increase
Solution Approach 1:
The patent introduces a condition transducer as an intermediary device that converts complex machine condition data into simple analog output values (0-100%). This transducer acts as a mediator between the complex monitoring system and the operator, translating technical measurements into intuitive information that doesn't require expert knowledge to interpret.
Solution Approach 2:
The patent extracts the complex analysis function from the operator's task and consolidates it into a dedicated condition transducer device. The transducer independently performs data processing, analysis, and interpretation, outputting only the essential condition assessment, thereby removing the complexity burden from the operational workflow.
2Ease of operation
If discrete condition indicators are used, then ease of operation is improved, but loss of information increases
Solution Approach 1:
The patent transforms discrete condition indicators into a continuous analog parameter (0-100% condition value). This parameter change provides nuanced information about machine health states, allowing operators to distinguish between slight degradations and severe conditions, thereby reducing information loss while maintaining ease of interpretation.
Solution Approach 2:
The patent adds a quantitative dimension to condition monitoring by introducing an analog scale. Instead of simple discrete states, the system provides a dimensional measurement of machine condition, enabling operators to assess the severity and progression of machine degradation more effectively.
3Measurement precision
If multiple sensors and data processing are implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple sensors, data acquisition functions, processing algorithms, and output mechanisms into a single integrated condition transducer device. This consolidation maintains the measurement precision benefits of multiple sensors while reducing overall system complexity through unified architecture and centralized processing.
Solution Approach 2:
The condition transducer is designed as a universal device that can monitor multiple machine parameters simultaneously through integrated sensors and processing. The single device performs data acquisition, analysis, interpretation, and output generation, eliminating the need for separate specialized systems for each function.
4Loss of information
If analog condition values are provided, then loss of information is reduced, but ease of operation deteriorates
Solution Approach 1:
The patent scales the analog condition value to an intuitive 0-100% range that mirrors common operational understanding of machine health. This parameter transformation maintains the richness of analog information while presenting it in a format that is immediately comprehensible to operators without technical training.
Solution Approach 2:
The patent segments the continuous analog condition value into meaningful operational zones (normal, caution, alarm) that guide operator decision-making. This segmentation preserves the detailed information in the analog value while providing structured interpretation frameworks that simplify operational responses.
Data Source
AI summary
A machine condition monitor resides in close proximity to a machine train, such as an AC inductive electric motor coupled to a driven unit such as a centrifugal pump or fan. A plurality of sensing devices are connected to the machine and the machine condition monitor. Machine state and condition parameters sensed by these devices are utilized by the machine condition monitor to derive machine condition values for each component and for the machine train as a whole. These derived condition values are transmitted via an industrial communications network to a control center where they can be trended and monitored. With no particular knowledge of machine analysis techniques or severity of specific machine faults, and no special training, Operators and Production Planners can use the condition values to plan production schedules, adjust process parameters, and request appropriate maintenance action.