Store on Alert Vibration Data Acquisition Mechanism
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current machine vibration monitoring systems face challenges in acquiring and storing analytical vibration data based on alert conditions, leading to insufficient diagnostic information, high data transfer costs, and potential data loss due to bandwidth limitations and scheduled measurement intervals.
Innovation Solution
Implementing a 'store on alert' mechanism that uses scalar data to capture and store analytical vibration data within the monitoring device, allowing for more relevant diagnostic information and efficient data transfer by comparing scalar values to threshold levels, and ensuring data is transferred before being overwritten.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If analytical vibration data is collected on a scheduled basis, then data is continuously available in the monitoring device, but data transfer costs increase and battery consumption rises due to bandwidth limitations
Solution Approach 1:
The system applies different data collection strategies to different types of data. Scalar vibration data is collected continuously at scheduled intervals for trend analysis, while analytical vibration data is collected locally only when alert conditions are detected. This localized quality approach ensures diagnostic information is available when needed without continuously transferring all data types, thereby reducing battery consumption while maintaining information availability.
2Loss of information
If analytical vibration data is transferred frequently to ensure data availability, then diagnostic information is timely, but bandwidth limitations cause high data transfer costs
Solution Approach 1:
The monitoring device performs preliminary evaluation of scalar vibration data against alert thresholds before deciding to collect and transfer analytical vibration data. This preliminary action filters out normal operating conditions where full analytical data transfer is unnecessary, allowing the system to prepare and transfer only critical diagnostic information when alert conditions are detected, thus ensuring timeliness while reducing overall data transfer costs.
3Loss of energy
If the scheduled measurement interval is extended to reduce data transfer frequency, then battery consumption decreases, but critical alert data may be overwritten before retrieval
Solution Approach 1:
The system continuously monitors scalar vibration data and provides feedback to the data collection mechanism. When scalar data exceeds alert thresholds, this feedback triggers immediate collection and retention of analytical vibration data in separate buffers, preventing overwriting. This feedback mechanism ensures that even with extended measurement intervals, critical alert data is reliably captured and retained for subsequent retrieval and analysis.
4Quantity of substance
If analytical vibration data is collected at every scheduled interval, then complete data sets are available, but non-repetitive events may not be captured with sufficient diagnostic information
Solution Approach 1:
The system changes the collection parameter for analytical vibration data from a fixed scheduled interval to a variable trigger-based parameter. When scalar vibration data exceeds alert thresholds, the parameter change triggers high-resolution analytical data collection at that specific moment. This parameter change ensures that non-repetitive events are captured with sufficient diagnostic information and temporal resolution, while normal operating conditions use the scheduled interval approach, optimizing both data volume and diagnostic quality.
Data Source
AI summary
A “store on alert” vibration data acquisition mechanism uses scalar data produced by a vibration monitoring device as a predicate to capturing and storing analytical vibration data in the vibration monitoring device. The scalar data may consist of scalar process variables generated in the vibration monitoring device that are acquired at a fixed interval, such as PeakVue and Overall Vibration. At each interval, these scalar data values are compared to machine performance threshold levels, such as ADVISE, MAINT and FAIL, to determine whether analytical vibration data is to be stored separately inside the vibration monitoring device. Since the analytical vibration data is captured based on a predicate inside the vibration monitoring device (i.e., comparison of the scalar value to the thresholds), the analytical vibration data includes more relevant diagnostic information about a specific machine performance event.