Equipment & Process Reliability Testing in Machine Health Diagnostics

Monitor, analyze, and optimize machine performance with intelligent diagnostics solutions from Manufacturing EnviroTest for reliable operations. 

Overview

Machine Health Diagnostics for Equipment & Process Reliability Testing is a comprehensive solution developed by Manufacturing EnviroTest to detect, analyze, and address equipment issues before they lead to unplanned downtime or failure. Our diagnostics systems continuously monitor the operational state of industrial machinery using vibration analysis, thermal imaging, ultrasonic sensing, and real-time telemetry. This enables predictive maintenance, performance optimization, and reduced operational risk.

Headquartered in Seattle, WA, Manufacturing EnviroTest empowers businesses across North America with intelligent diagnostics tools backed by cutting-edge research, quality-driven development, and expert consultation. We serve diverse industries by helping them extend asset life, maintain production schedules, and reduce maintenance costs. In partnership with GAO Tek and GAO RFID, we extend the functionality and connectivity of our solutions for greater system-wide insights.

Hardware

Multi-axis vibration sensors and accelerometers

Use Vibration Meters from Structural Testers to monitor abnormal machine motion and stress behavior.

Thermal cameras and infrared sensors

Employ Infrared Thermometers & Cameras from Environmental Test Instruments to detect thermal anomalies in equipment components.

Acoustic emission sensors and ultrasound probes

Utilize Sound Level Meters & Calibrators from Environmental Test Instruments to capture acoustic signals indicating internal faults.

Edge-based diagnostic modules and controllers

Apply Device Edge from Edge Computing for local real-time diagnostics and condition monitoring.

Wireless sensor networks with industrial enclosures

Integrate Zigbee End Devices from Zigbee to enable wireless, reliable multi-point health diagnostics in rugged industrial settings.

Core Components

Software

Machine learning-driven diagnostic analytics platform

Real-time alerts and dashboard visualization tools

Asset performance and lifecycle tracking

Fault pattern recognition and root cause analysis

Scheduled and on-demand health reporting system

Cloud Services

Remote equipment health monitoring and analytics dashboards

Historical trend tracking and predictive modeling

Integration with cloud-based maintenance platforms

Secure data transmission and encrypted storage

Multi-site visibility and fleet-wide diagnostics

Key Features and Functionalities

Continuous condition monitoring of vibration, temperature, acoustics, and pressure

Predictive failure analysis using AI and historical data

Customizable threshold alerts with severity indicators

Cloud-synced dashboards for real-time remote diagnostics

Easy integration with existing CMMS or SCADA systems

Supports portable and permanently installed configurations

Benefits

Detects early-stage equipment degradation for timely intervention

Minimizes costly unplanned downtime and emergency repairs

Increases equipment lifespan and operational safety

Reduces labor costs through automated diagnostics

Enhances compliance with reliability and safety regulations

Supports lean and predictive maintenance strategies

Industries Served

Manufacturing & Assembly

Energy & Utilities

Oil & Gas

Food & Beverage Processing

Pharmaceuticals & Life Sciences

Transportation & Logistics

R&D and Prototyping Facilities

Integrations and Compatibility

Monitoring & Diagnostic Platforms : OSIsoft PI System, GE Predix, Siemens MindSphere

Automation Frameworks : NI LabVIEW, Python, MATLAB

Communication Protocols : MQTT, OPC-UA, Modbus, CAN

Cloud & Enterprise Systems : AWS IoT, Microsoft Azure, IBM Maximo, SAP

Applications

Industrial motors, gearboxes, and pumps

Compressors, turbines, and fans

CNC machines and robotic arms

HVAC and building infrastructure systems

Conveyor systems and packaging lines

Relevant Industry Standards

ISO 10816

ANSI/ISA-95

CSA Z1006

IEEE 1451

API Standard 670

ASME B73.1

Case Studies

United States – Texas

An energy production facility in Texas used our diagnostics system to monitor turbine compressors. Vibration analysis identified shaft imbalance before catastrophic failure, saving $250K in repairs and reducing downtime by 40%.

United States – Ohio

A food processing plant in Ohio implemented our thermal and ultrasonic monitoring on its packaging lines. Our system detected heat anomalies in a motor bearing, allowing preemptive replacement and avoiding an entire shift’s production loss.

Canada – Quebec

A pharmaceutical plant in Quebec deployed our multi-sensor diagnostic solution to monitor cleanroom HVAC systems. Cloud-based reporting helped them maintain GMP compliance while reducing maintenance costs by 18% annually.

Looking to elevate the reliability of your manufacturing equipment through advanced machine health diagnostics?

Contact us today for tailored solutions, expert advice, and comprehensive support to ensure your operations run smoothly and efficiently.