Project Overview
Our team is assembling a development team to build out our new data analytics tool that will
be a new product offering to our customers in industrial markets with critical assets. We’re
engaging a flexible workforce of contract talent to help on the building side and as needed to
manage and maintain the system as it rolls out.

Scope of Work

Key Responsibilities
• Product Development: Provide machinery dynamics knowledge along with Python
coding skills to help in the development of a data analytics platform focused on critical
machinery.
• Diagnostic Analysis: Apply expertise in vibration analysis, kinetics, rotor dynamics,
electrical signature analysis, and time domain waveform analysis to diagnose
machinery issues and ensure optimal performance and reliability. Knowledge of finite
element analysis (FEA) is helpful but not a primary focus.
• Diagnostics Translation: Convert vibration analysis, rotor dynamics, electrical
signature analysis, and waveform techniques into Python-based algorithms and models.
• Model Development: Build and validate machinery models using signal processing
techniques for real-time diagnostics.
• Data Structuring: Organize diagnostic outputs into structured formats compatible with
our company's data repositories (e.g., Databricks).
• Technical Documentation: Create and hand off documentation for diagnostic
algorithms, modeling assumptions, and code implementations.
• Procedure Development: Where needed, develop standard procedures for collecting
and analyzing diagnostic data, including vibration, electrical, and kinetic data and share
with our Team accordingly.
• Collaboration: Confer with our partners, vendors, or service providers to
establish diagnostic specifications, resolve issues, and develop new diagnostic
methodologies.
• Tool Enhancement: Recommend improvements to diagnostic tools and reporting
formats based on field data and modeling insights.
• Methodology Improvement: Identify, recommend, and implement enhancements to
diagnostic methodologies, tools, and reporting formats, including vibration analysis
reports, electrical signature analysis outputs, and FEA models
• Software Development Support: Work under the Software/R&D Team to support the
development of a strategic software platform for reliable diagnostic tools to meet
customer asset management needs in the form of a sellable software product.

Deliverables
• Utilize unsupervised learning techniques to identify critical features in emerging failure
modes.
• Assist Data Science Team in building and tuning ML models related to machinery
health.
• Deliver Python ML models based on raw wave form and extracted data.
• Write and develop advanced pattern recognition (APR) tools.
• Identify and extract features.
• Create comprehensive diagnostic reports with graphical representations (e.g.,
frequency spectra, waveforms, FEA models).
• Utilize structure and maintain diagnostic data repositories using platforms like
Databricks.
• Document recommendations for improvements to diagnostic tools, methodologies, and
reporting formats.
• Write Python modules and scripts implementing diagnostic logic for asset types.
• Validate models (e.g., FEA, waveform analysis) with documentation.
• Contribute to the platform’s knowledge base and technical manuals.

Cynthia