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Petasense

United States
2014
Private
< $10m
11 - 50
Open website
Petasense is an Industrial Internet of Things startup based in Silicon Valley. They make learning wireless sensors that connect to the cloud to democratize Predictive Maintenance for industrial customers. The vision of the company is to connect, collect and predict for the industrial world to improve operational efficiency and reduce costs.
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Petasense’s IoT Snapshot maps the range and focus areas of Petasense’s IoT business across Technologies, Use Cases, Industries, and Services. Only categories with active products will be shown. Missing categories indicate that there is no activity in those areas.
Technologies
Sensors
Pressure Sensors
Temperature Sensors
Vibration Sensors
Platform as a Service (PaaS)
Data Management Platforms
Application Infrastructure & Middleware
Data Visualization
Use Cases
Predictive Maintenance
Process Control & Optimization
Industries
Buildings
Food & Beverage
Healthcare & Hospitals
Oil & Gas
Utilities
Petasense’s Tech Stack maps Petasense’s participation in the IoT tech stack.
  • Application Layer
  • Functional Applications

  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service

  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors

  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting
    Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies3
Large-scale Implementation of Wireless Predictive Maintenance
In 2016, Arizona Public Service (APS) decided to enter the California ISO (CAISO) market, which allows them to sell power into the California market. One of their key assets was Sundance, a 420 MW unmanned peaker plant located 50 miles outside Phoenix. The entry into the CA energy market meant that starts tripled and run hours doubled almost immediately at the plant. They started looking for wireless Predictive Maintenance (PdM) system because the running hours were typically when no one was on site, which meant that traditional forms of PdM were not possible. Typically, a specialist would collect vibration and other condition data on equipment, but it had to be taken during operation, and it was difficult to get personnel out to the site.“Reliability was foremost on our minds,” commented Don Lamontagne, Supervisor of Equipment Reliability Engineering. “We faced huge loss of potential revenue, as well as fines if we weren’t able to generate power when it’s needed.”
Continuous condition monitoring pays off at a large power utility
A large power utility in Hawaii was looking for more frequent condition monitoring on their Balance of Plant (BOP) generation assets. They had experienced significant equipment failures that occurred between their scheduled quarterly walkaround condition monitoring routes.
Wireless Predictive Maintenance to Fix a Dated Walk-Around Program
C&W Services was using a manual condition monitoring program at one of its leading life sciences’ client up until last year. At best, data was collected manually every 30 days, even on the most critical machines, using a handheld data logger. After the data collection, all of the data analysis had to be outsourced to a third party for analysis. This approach has several limitations:1. Unplanned Downtime2. Shortage of Manpower3. Safety and Access to Machines4. Inconsistent Readings Collected by Manual Processes
Number of Similar Suppliers5
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SST Wireless provides industrial wireless sensor that are designed to work in extreme environments. The company was originally founded as a joint venture with KalTire to develop and bring to market, a Tire Pressure and Temperature Monitoring System (TPMS) for heavy haulers used in mining operations around the world. Through continued engineering efforts, SST has also introduced a TPMS for mass transit and municipal vehicles which have completed a successful field trial with a metropolitan transit operator. The company has been working with several industrial partners to develop and bring to market, a number of new sensors designed for industrial equipment monitoring to increase safety and reduce downtime. Many of these new developments are very exciting as they have far reaching implications for the industries involved.SST continues to develop new applications for its extreme condition sensors, zone Controllers and central monitoring stations. The company is is experiencing accelerated growth.
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