Cloud Machine Health Monitoring With Magnetic RPM Sensing

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Solution Overview

Problem

Conventional machine fault detection methods require human intervention and are costly, limiting continuous and automated monitoring of machine health, especially in large facilities with numerous machines, and often lead to inaccurate or delayed fault detection.

Innovation Solution

A cloud-based system with sensor nodes that continuously monitor machine characteristics such as vibration, energy profiles, magnetic field, and temperature, generating features for fault detection and diagnosis, using cloud computing for data analysis and providing user interfaces for alerts and diagnostics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If RPM sensors are installed to directly measure rotational speed, then measurement precision is improved, but device complexity and cost increase

Engineering Contradiction:

ImproveRPM measurement precisionVSAvoidsensor installation complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent uses magnetic field sensors as intermediaries to indirectly measure rotational speed. Instead of directly measuring RPM with tachometers, the system detects changes in magnetic field caused by ferromagnetic materials passing by rotating components, converting the measurement problem into a magnetic field detection task that is easier to implement continuously.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces mechanical RPM sensors with magnetic field-based detection. By substituting the mechanical measurement approach with a magnetic field sensing approach, the system achieves continuous automated monitoring without the complexity of direct mechanical sensor installation on rotating parts.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If multiple RPM sensors are deployed across many machines, then measurement precision is improved, but cost increases prohibitively

Engineering Contradiction:

Improvefault detection accuracyVSAvoidnumber of sensors required

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent creates a universal monitoring system where a single type of magnetic field sensor can be applied to multiple different machine types (compressors, turbines, pumps, motors, fans). The same sensor node design and magnetic field detection principle work across various rotational equipment, eliminating the need for specialized sensors for each machine type.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent uses inexpensive magnetic field sensors that can be replicated and deployed across numerous machines without the prohibitive cost of traditional RPM sensors. The system copies the same sensor node architecture across multiple locations, achieving widespread monitoring coverage at low per-unit cost.

Inventive Principle:

Principle #26Copying

3Reliability

If continuous monitoring is implemented, then reliability is improved, but use of energy increases

Engineering Contradiction:

Improvefault detection reliabilityVSAvoidsensor node energy consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent implements periodic sampling of magnetic field data rather than truly continuous monitoring. The sensor nodes collect magnetic field changes at intervals sufficient to detect rotational anomalies and faults, reducing energy consumption while maintaining reliable fault detection capability.

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The sensor nodes are designed to be battery-powered and wirelessly communicate data, making them self-contained and eliminating the need for continuous power supply infrastructure. The nodes autonomously process and transmit only relevant fault information, minimizing energy usage.

Inventive Principle:

Principle #25Self-service

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables continuous, automated, and cost-effective machine health monitoring, reducing unnecessary servicing, detecting faults early, and minimizing downtime by providing real-time fault analysis and proactive maintenance.

Implementation Method 1

sense information of machine characteristics respectively from a plurality of machine parts, which in some examples may include one or more of vibration, energy profiles, magnetic field, temperature, or acoustic information

Methodology Applied

Scientific EffectVibration: Vibration

Implementation Method 2

Methodology Applied

Scientific EffectMagnetic field: Magnetic Field

Implementation Method 3

Methodology Applied

Scientific EffectTemperature:

Data Source

PatentUS12597332B2Cloud-based machine health monitoring

Publication Date: 2026.04.07 ANALOG DEVICES GLOBAL UNLTD

AI summary

Systems and methods for detecting, isolating, and diagnosing machine faults are discussed. An exemplary system includes a network of sensor nodes deployed at machines or machine components to sense information of machine characteristics, and to generate physical or statistical features using the sensed machine characteristics. A cloud-computing device, communicatively coupled to the sensor network, can provide cloud-based services including detecting a machine fault, diagnosing a fault type, or estimating time to machine failure. A user interface associated with a client device can alert a user of the detected fault, such that the user can take preventive actions to minimize machine downtime.