About

Electralytics is a niche, independent electrical asset management and engineering consultancy that specialises in asset management of high voltage assets.

Electrical plant is critical to the safe and reliable operation of any industrial facility, the major assets includes:

• Generators and excitation systems

• Motors and electrical drives

• Oil-filled and dry-type power transformers

• Batteries and DC systems

• Electrical protection and metering equipment

• High voltage switchgear, conductors and connections

• Insulators

• Earthing systems

• Cables

The commercial risk increases due to plant failure

• Impact on safety and environment

• Production loss

• Lead time associated with replacement of failed plant

• Installation and commissioning cost

Advanced analytical methods and tools provide deep insights into any data, the entire process is founded on analytical skills,  technical and asset management experience as well as industry specific knowledge.

Analysis results are derived from data sourcing, complex data modelling, analysis and visually rich reporting and presentation. We supplement our process with user interactive tools, allowing users to further analyse their asset condition.

The data analytics philosophy also applies to our dashboards and asset management information tools.

Electralytics’ interactive and visually rich asset management systems and expertise allow asset managers to analyse and visualise asset condition in real time, which enables the asset owners to:

• Combine and track changes in vital condition data by displaying multiple test data parameters in a structured, efficient and graphically rich format on interactive dashboards (compare against acceptable levels, trends, and peer assets)

• Compare between similar asset types (by serial number, type of asset, location of asset etc…)

• Review historical data in an instant without having to dig up past reports from archives or report storage systems.

• Combine and develop new data relationships that seemed unrelated while disjointed in traditional paper reports. (e.g. combine and analyse different test results impacted by a single failure mode such as moisture).

• Choose filtering criteria based on individual or combined data values and ranges, allowing to display all assets with specific data characteristics, failure modes and trends.

• Display Asset Risk (failure risk) and Ranking (action urgency) of each asset to allocate available resources where and when required.

Through effective strategies and planning and instantaneous access to data, the benefits to asset owners include:

• Understanding of the asset condition and risk profile of each asset or group of assets anywhere in the world (with internet access).

• With built in asset condition criteria algorithms that are based on international standards, specifications and best practice recommendations, the asset owners have access to a virtual expert providing the detailed condition data analysis

• Ability to find insights in very large data sets, (not limited to only your organisation’s own data).

• Increase awareness of asset risk by continuous access to visually rich dashboards and colour coded risk profiles.

• Increase interaction and communication between stakeholders, (management, engineering, operations and maintenance), by accessing instantly available data and asset condition information.

• Streamlined resource planning and allocation

• Reduced labour effort and cost to source, analyse and report on condition of the multitude of assets in the organisation’s asset fleet.

• Determine effectiveness of targeted maintenance actions by focus monitoring, measurement, analysis and evaluation to relevant assets.

• Perform regular formal or informal asset audits, (on or off-site), with instant access to information on desktop or mobile devices.

Efficiency improvements, (significant cost saving), in the complete asset management cycle:

• Strategy and planning, by having instantaneous access to relevant data and information.

• Asset repair or replacement strategies and planning, by analysing and understanding asset type issues and failure mechanisms.

• Maintenance and resourcing, by targeting significant maintenance effort only to assets with high risk profiles. (continue to monitor assets with low risk profiles).

• Reduced downtime, by increasing reliability with fewer forced outages.

• Asset reliability and business continuity improvements.