Intelligence for Your Mechanical Assets

Custom-Built Condition Monitoring Solutions

Building on our condition monitoring expertise, we design and implement multi-sensor monitoring solutions tailored to specific equipment, operating environments, and performance objectives. Each system is engineered to reflect real-world operating conditions, whether in harsh mining environments, precision manufacturing facilities, or marine applications. Our solutions combine:

• Vibration analysis as the core diagnostic layer

• Complementary acoustic and thermal sensing

• Advanced signal processing and feature extraction

• AI-assisted classification and predictive modeling

• Hardware integration and software deployment

• Executive-level performance visualization

The result is a structured, science-backed monitoring architecture that supports confident decision-making, proactive maintenance planning, and long-term asset reliability.

Condition Monitoring Systems

We combine physics-based understanding with AI modeling to predict failures before they occur. Our predictive maintenance frameworks include:

• Early-stage fault detection

• Feature-based anomaly recognition

• Remaining useful life estimation

• Hybrid AI and signal processing models

• Sensor fusion for robust classification

These systems support reduced downtime, optimized maintenance scheduling, improved operational efficiency, and enhanced asset reliability.

Mining Technology

A patented real-time drill wear monitoring solution for surface mining applications was developed by the INORUN’s founder. The system classifies wear states and predicts failures with high accuracy using advanced vibration analysis and AI modeling, trained and validated on real-field data from Canadian mine sites.

The technology improves operational efficiency, reduces downtime, enhances safety, and supports automation and digitization initiatives in mining operations. It is scalable to other drilling systems, heavy mining equipment, consubables, and mining processes.

Manufacturing Technology

Research led by INORUN’s founders in tool condition monitoring has enabled intelligent detection of tool wear through advanced analysis of sound and vibration signals across a broad frequency range. By integrating advanced signal processing, wavelet-based feature extraction, and neural network classification, a robust monitoring framework was developed to detect wear prior to breakage. This approach supports automated and unmanned production environments, improves product quality, and reduces costly machine or workpiece damage. The methodology is scalable to CNC systems and other manufacturing equipment and consumables.

Marine; Private Yachts & Vessels

Every voyage demands reliability.

We develop custom monitoring solutions for propulsion systems, rotating equipment, and critical onboard assets to enhance reliability, reduce unexpected failures, and support safer journeys. Our consultative approach ensures that each system is tailored to the operational profile of the vessel.

Universities & Research Institutions

INORUN bridges academic innovation and real-world industrial deployment. We actively welcome academic collaboration and partner with universities and research institutions on:

• Proof-of-concept projects

• Applied research in condition monitoring

• Industrial validation studies

• Joint technology development initiatives

Beyond technology, INORUN provides strategic and hands-on consulting services to support reliability, innovation, and digital transformation initiatives.

Our consulting services include:

• Asset reliability strategy development

• Maintenance system evaluation and optimization

• Innovation and technology roadmap planning

• Feasibility assessment for condition monitoring systems

• Failure investigation and diagnostic support

• Custom solution identification and implementation

We work closely with executive teams, engineering departments, and R&D groups to translate technical insight into measurable operational impact.