Company Overview of Azima DLI, LLC
Azima DLI, LLC, a condition monitoring services company, focuses on delivering equipment diagnostics to industrial plants, transportation organizations, and the military sector primarily in North America, Central and South America, Asia, Europe, and the Middle East. The company offers Reliability as a Service (RaaS), a collection of integrated professional services, such as vibration analysis, oil and wear particle analysis, remote online monitoring, reciprocating engine/compressor analysis, infrared thermography, motor testing, program management, onsite data collection, engineering consulting and machine fault troubleshooting, machine dynamic balancing, and coupling precision alignment ser...
300 Trade Center
Woburn, MA 01801
Founded in 1986
Key Executives for Azima DLI, LLC
Chief Executive Officer and Director
Vice President of Operations & Business Development
Vice President of Technology
Director of International Sales
Compensation as of Fiscal Year 2012.
Azima DLI, LLC Key Developments
Azima DLI, LLC and Ivanpah Solar Electric Generating System Announce Predictive Maintenance Agreement
Mar 5 13
Azima DLI, LLC announced the details of its predictive maintenance agreement with NRG Energy Services, Operator of the Ivanpah Solar Electric Generating Station. Azima DLI's WATCHMAN Analysis Program(TM) will be implemented to ensure reliability of more than 700 of Ivanpah's rotating equipment pieces, located across 3,500 acres of California's Mojave Desert. The Azima DLI WATCHMAN Analysis Program will be fully integrated as soon as the plant reaches commercial operation. In most scenarios, plants take preventative measures with PdM technologies when experiencing machine failure and downtime. Ivanpah is currently utilizing Azima DLI technology in acceptance testing and benchmarking of rotating equipment during the project's commissioning phase. Ivanpah currently has an internal maintenance team augmented with the WATCHMAN Analysis Program.
Azima DLI, LLC Announces the TRIO CX-7 for Next-Generation Data Collection
Oct 11 11
Azima DLI, LLC announced availability of its TRIO CX-7. The first of a new generation of vibration data collectors and machine condition analyzers from Azima DLI, CX-7 far exceeds competitive offerings in terms of ergonomics, computing power and total cost of ownership. With the ability to completely transform current PdM programs, its durable design and wireless capabilities provide greater efficiency and safety, especially in plants with large rotating equipment. The TRIO CX-7 is the first of a new generation of vibration data collectors and machine condition analyzers from Azima DLI. TRIO is a powerful computerized system in a mobile industrial package that sets aside the traditional data collection model to focus on productivity while elevating the overall success of PdM programs. Designed and engineered specifically for a new generation of data collection, the CX-7 features: Wireless, Voice-Activated Data Collection; Voice Command Data Acquisition; Advanced Computing Power; and Greater Portability and Ease of Use. With a solid-state hard drive, bright sunlight-readable touch screen and Wi-Fi access, the CX-7 can automatically connect with desktop or networked PCs and servers. Users can install their own PdM and office productivity applications, enabling them to carry out multiple functions including performing other PdM surveys, updating spreadsheets and synchronizing database changes to share in real time with key stakeholders from a single device. The CX-7 is the only data collector of its kind to include a digital camera, allowing the operator to take a video or still photos during routine machine inspections and either include them within the diagnostics report or send to remote analysts. Additionally, the CX-7 is embedded with Azima DLI's ExpertALERT proven automated machine diagnostic technology that has been deployed in commercial industry and the military for decades. It is capable of fully analyzing a machine in mere seconds, comparing readings to historical data and enabling users to get accurate diagnoses on the plant floor in near real time.
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