Rotational Machine Integrity Determination via Data Compression

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current machine condition monitoring systems face challenges in reducing power consumption during data acquisition, processing, and transmission, leading to increased energy usage and potential equipment failures due to inefficient data handling in industrial settings.

Innovation Solution

The implementation of energy-efficient systems and methods that include data compression and power apportioning techniques to reduce energy consumption in machine condition monitoring, such as using data transformation elements and differential data processing to minimize power requirements during data transmission and processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If machine condition monitoring systems continuously acquire, process, and transmit vibration data, then reliable detection of machine defects is achieved, but power consumption increases significantly

Engineering Contradiction:

Improvedefect detection reliabilityVSAvoidpower consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary data processing and compression at the sensor node before transmission. Vibration data is transformed into frequency domain representations and compressed using differential encoding, so that only essential features are transmitted to the central system, reducing transmission power requirements while maintaining defect detection capability

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system extracts only the most critical vibration features (frequency spectrum characteristics, peak values, RMS) from the continuous vibration signal for transmission and analysis. By taking out only the essential diagnostic information rather than transmitting raw continuous data, power consumption is reduced while maintaining reliable defect detection

Inventive Principle:

Principle #2Taking out (Extraction)

2Loss of time

If vibration data is transmitted frequently and continuously, then real-time machine condition monitoring is achieved, but energy consumption during transmission increases

Engineering Contradiction:

Improveresponse timeVSAvoidtransmission energy

Core Design Contradiction:

Loss of timeVSLoss of energy

Solution Approach 1:

The system implements periodic transmission of processed vibration features instead of continuous transmission. Data is collected and processed locally, then transmitted at scheduled intervals or when threshold conditions are met, reducing transmission energy consumption while maintaining timely machine condition monitoring

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The sensor node acts as an intermediary by performing local data processing, feature extraction, and compression before transmission. This intermediary processing reduces the volume of data requiring transmission, thereby reducing transmission energy while maintaining real-time monitoring capability through efficient use of transmission resources

Inventive Principle:

Principle #24Intermediary (Mediator)

3Loss of information

If raw vibration data is processed and transmitted without compression, then complete information is available for analysis, but data transmission time and energy increase

Engineering Contradiction:

Improveinformation completenessVSAvoidtransmission energy

Core Design Contradiction:

Loss of informationVSLoss of energy

Solution Approach 1:

The system changes the parameter representation of vibration data by transforming time-domain signals into frequency-domain representations (FFT) and then applying compression algorithms. This parameter transformation maintains the essential diagnostic information while significantly reducing data volume for transmission, balancing information completeness with energy efficiency

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10545071B2High efficiency rotational machine integrity determination systems and methods

Publication Date: 2020.01.28 AB SKF SKF PATENT DEPARTMENT

AI summary

Methods and systems to achieve highly efficient rotational machine integrity determinations in which at least one sensor (106) senses indicia (105) such as time-varying rotational indicia from a rotational motive apparatus (103) and a processor (108) may provide many different functions including but not limited to operational function energy apportioning decisional processing, data compression, intelligent hierarchical data ranking, differential data processing, or the like perhaps to generate information (109) such as a rotational integrity abridgment transmissor to which an abridgment transmissor electromagnetic signal (112) may be created and perhaps even transmitted from a rotational motive apparatus to facilitate a machine integrity determination.