About
Petasense is an end-to-end Industrial IoT solution designed to help industrial operators predict equipment failures, reduce unplanned downtime, and optimize asset performance. At its core, the platform consists of three integrated layers: wireless IoT sensors, a cloud-based ML analytics engine, and intuitive web and mobile applications. The sensor layer includes plug-and-play devices that capture vibration, temperature, ultrasound, pressure, current, and more — supporting hundreds of sensor types with enterprise-grade security. Data is transmitted securely to the Petasense ARO Cloud, where machine learning models analyze multiple parameters against deep asset knowledge bases to detect anomalies, track failure modes, and generate digital twins of each monitored asset. The application layer enables reliability engineers and plant managers to visualize asset health and performance trends, receive real-time alerts, and integrate data with existing Historians and EAM (Enterprise Asset Management) systems. Petasense supports a broad range of asset types including rotating machines, electric panels, valves, and steam traps. Industries served include pharmaceuticals, power generation, oil & gas, data centers, and other critical facilities. An ROI Calculator helps prospective customers quantify cost savings from avoided downtime and optimized maintenance schedules. Petasense is built for reliability teams in enterprise and mid-market industrial organizations looking to transition from reactive to predictive maintenance strategies.
Key Features
- Plug-and-Play Wireless Sensors: Easily install wireless vibration, temperature, ultrasound, pressure, and current sensors on critical assets without complex wiring or lengthy setup.
- ML-Driven Asset Health Analytics: Cloud-based machine learning models analyze multi-parameter sensor data against deep asset knowledge bases to detect anomalies and predict failure modes.
- Asset Digital Twins: The ARO Cloud creates digital representations of each monitored asset, tracking health trends and enabling condition-based maintenance decisions.
- Real-Time Alerts & Mobile Access: Reliability teams receive instant alerts via web and mobile apps, enabling anywhere-access to asset health status and performance dashboards.
- EAM & Historian Integration: Seamlessly integrates with existing Enterprise Asset Management systems and data historians to embed predictive insights into current maintenance workflows.
Use Cases
- Predictive maintenance for motors, pumps, and compressors in manufacturing plants to prevent unplanned downtime.
- Continuous vibration and temperature monitoring in pharmaceutical facilities to meet regulatory compliance and Pharma 4.0 standards.
- Asset health tracking in power generation plants to optimize maintenance schedules and extend equipment life.
- Equipment reliability management in oil & gas facilities to reduce the risk of catastrophic failures and safety incidents.
- Critical facility infrastructure monitoring in data centers to protect uptime for cooling systems, UPS units, and other rotating equipment.
Pros
- Easy Sensor Deployment: Wireless, plug-and-play sensors significantly reduce installation time and complexity compared to traditional wired condition monitoring systems.
- Broad Asset & Industry Coverage: Supports hundreds of sensor types and a wide range of asset categories across pharma, power generation, oil & gas, and data centers.
- Integrated ML Intelligence: Automated machine learning removes the need for manual analysis, surfacing actionable insights and failure predictions without requiring data science expertise on-site.
- Enterprise-Grade Security: Data transmission and cloud storage meet enterprise security standards, making it suitable for regulated industries like pharmaceuticals.
Cons
- Hardware Cost Required: Adopting Petasense requires purchasing physical sensors and transmitters, adding upfront capital expenditure beyond software subscription costs.
- Opaque Pricing: No pricing information is publicly available on the website; organizations must contact sales, which can slow evaluation for budget-conscious teams.
- Enterprise-Focused Scope: The platform is designed for industrial-scale deployments and may be over-engineered or cost-prohibitive for smaller facilities with limited assets to monitor.
Frequently Asked Questions
What types of industrial assets can Petasense monitor?
Petasense monitors a wide range of assets including rotating machines (pumps, motors, fans, compressors), electric panels, control valves, and steam traps, with support for hundreds of sensor types.
How does Petasense's predictive maintenance work?
Wireless sensors collect real-time data (vibration, temperature, ultrasound, pressure, etc.) and transmit it securely to the cloud, where machine learning models analyze the data to detect anomalies, identify developing failure modes, and generate health scores and alerts.
Can Petasense integrate with our existing EAM or CMMS system?
Yes. Petasense supports integration with Historians and Enterprise Asset Management (EAM) systems, allowing predictive insights to flow into existing maintenance workflows and work order systems.
Which industries does Petasense serve?
Petasense serves pharmaceuticals, power generation, oil & gas, data centers, and other critical facilities — any industry that relies on continuous operation of rotating or process equipment.
Is there a mobile app for monitoring assets on the go?
Yes, Petasense provides both web and mobile app access, enabling reliability engineers and plant managers to view asset health, performance trends, and receive real-time alerts from anywhere.
