Unplanned and prolonged outages due to asset failures cost utilities more than downtime; they can damage reputation and trust. Asset Performance Management (APM) gives electrical power transmission and distribution utilities a centralized, data-driven platform to monitor, analyze, and optimize asset performance, enabling intervention before problems arise.
Asset Performance Management (APM) is a strategic, data-driven approach designed to maximize the reliability, availability, and performance of critical operational assets throughout their lifecycle. By leveraging advanced analytics and real-time data, APM empowers organizations to transition from reactive maintenance to proactive, condition-based strategies.
Purpose-built for the electrical power transmission and distribution industry, APM serves organizations that rely on strategic assets to drive operational efficiency and ensure uninterrupted service. It functions as an interoperable platform that seamlessly integrates with existing enterprise systems, including Supervisory Control and Data Acquisition (SCADA), Geographic Information Systems (GIS), Enterprise Asset Management (EAM), Asset Investment Planning (AIP), and Enterprise Resource Planning (ERP) platforms such as SAP and Maximo. This integration delivers a single source of truth, providing a standardized, comprehensive view of asset health across the entire network.
By centralizing asset data, APM enables decision-makers to identify potential failures before they occur, optimize maintenance schedules, and extend the useful life of critical infrastructure.
APM is essential for organizations responsible for keeping the lights on and depending on the continuous performance of critical infrastructure. It provides the analytical foundation necessary to manage complex networks with confidence.
APM is designed for organizations that:
For utility providers and industrial operators, APM is not just a technological upgrade; it is a strategic imperative that ensures reliability, safety, and financial efficiency in an increasingly demanding operational landscape.
Oversee large volumes of critical electrical assets, such as transformers, circuit breakers, switchgear, capacitor banks, lines, and cables.
Deal with aging infrastructure containing assets with an unknown remaining useful life, which may pose significant operational risks.
Struggle to optimize Operational Expenditure (OPEX) and Capital Expenditure (CAPEX) budget allocations effectively.
Aspire to maximize asset availability by significantly reducing unplanned downtime and operational disruptions.
Want to minimize costly emergency maintenance interventions through proactive planning.
Are actively transitioning from traditional time-based and reactive maintenance to advanced condition-based and predictive maintenance strategies.
Require robust risk management and regulatory compliance capabilities to meet stringent industry standards.
Need support in analyzing and interpreting complex asset condition data due to retiring expertise and workforce transitions.
Place the health and safety of their personnel and the general public at the forefront of their business goals.
Whether you’re evaluating APM for the first time or looking to replace a legacy system, our team can walk you through a live demonstration tailored to your organization’s asset portfolio and operational context.
Reactive maintenance is costly and disruptive. By predicting failures, APM can help organizations maximize the grid’s effective capacity by avoiding unplanned outages. APM’s continuous condition monitoring and predictive analytics detect the early warning signs of failure, giving your teams the time to prepare and act before an event occurs. This shift significantly improves system reliability metrics such as System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI), and ensures a consistent power supply for end users, helping improve the organization’s reputation and avoid penalties
Without data-driven prioritization, teams spend time and money on unnecessary site visits, maintenance, and interventions. APM’s risk-based maintenance strategies ensure that effort is directed where it matters most, reducing both cost and risk simultaneously. The system will alert and draw attention to the most at-risk assets and provide prescriptive maintenance recommendations to remedy the situation. It will also provide time frame information showing when actions need to be taken.
Managing thousands of dispersed assets without a unified system leads to costly oversights. APM provides a consolidated fleet level asset view taking data and information from multiple sources and unifying it into a single source of truth. It is designed to drawn attention to critical information and areas of interest. It provides a clear, continually updated picture of your entire asset portfolio whilst also delivering asset level analytics and analysis tools when a risky asset is identified.
Assets that aren’t properly monitored and maintained can deteriorate faster. Each asset in the power grid is unique due to its operating characteristics, environment, composition, and age. APM’s Asset Health Indexing and lifecycle management capabilities help extend the useful life of your most critical equipment, maximizing the return on your capital investments. It utilizes techniques such as Weibull analysis to help organizations understand how and when assets fail.
APM provides maintenance decision intelligence (MDI) risk indexes which are calculated using standardized analytic models along with data quality and criticality information. This gives asset managers a consistent, objective basis for prioritization, moving decisions from intuition to evidence based. The calculations utilize asset information from multiple data sources including but not limited to: Asset age, location, environment, measured parameters from offline and online test equipment, sensors and monitors. Asset inspection information covering visual observations, operational information, gauge readings and location information. Laboratory test data and information derived from dielectric fluid and solid material measurements. From the MDI – Risk Indexes dashboard users can clearly identify areas of concern regarding the assets condition, importance and risk and see the consequence of failure and risk value in monetary terms.
The need to monitor the real-time condition of substations, power transformers, circuit breakers, and other critical assets is becoming increasingly prevalent. Along with historical data derived using offline inspections and tests, the deployment of online monitors, sensors, and IoT devices has exponentially increased the amount of data available. Analyzing this wealth of data requires time and most importantly subject matter expertise as it can be misinterpreted. APM has been built utilizing knowledge and expertise on the assets that make up the power grid. The one grid model and algorithms factor in industry expertise along with information from industry standards and guides to automatically analyze the data and transform it into actionable information. In order to develop trust in the automatic evaluation results, APM also includes specialized data analysis tools such as Transformer Oil DGA Analysis using Duval’s Triangle, as part of the world’s largest library of specialized analytics for electrical power systems.
APM calculates risk as the product of asset importance and condition, enabling teams to rank maintenance activities by urgency and impact. The built-in analytics perform a Health Score and Probability of Failure (PoF) analysis on the assets utilizing the data available and asset specific information as outlined in the MDI Risk Indexes section. Consequence of Failure (CoF) is evaluated for each individual asset across four consequence categories: Financial, Safety, Environmental and Network Performance. The risk index framework within APM is based on individual asset classes. The risk index framework is not fixed and can be configured by the user. It can be defined at various levels, such as asset group, asset type, asset instance, and maintenance results level. APM’s risk matrix aggregates and categorizes assets based on their health scores, PoF, and CoF. This ensures that your maintenance budget is allocated where it delivers the greatest value by targeting the highest risks.
Reliability Centered Maintenance is embedded within APM to ensure cost-effective and reliable operations of your technical assets by applying a maintenance strategy which focuses on the most important functions of the equipment, and its position in the grid. RCM is an additional preventive maintenance strategy, and should be used alongside existing maintenance strategies to further enhance the reliability of assets. APM supports the full RCM process, helping your organization move towards a proactive, reliability-focused maintenance culture. At its core RCM utilizes the Failure Modes and Effects Analysis (FMEA) within APM to analyze potential failure modes and their effects. It supports RCM activities by identifying risks associated with failure modes and recommending actions to mitigate these risks. FMEA is not designed to develop maintenance tasks but focuses on reducing the risk of failure by detecting them before they occur, thereby reducing costs.
Determining when an asset condition may become critical is essential to ensuring a reliable and stable power delivery service. APM provides built-in, established and end-user-configurable analytical models, including machine learning support where appropriate. The analytics consider the historical and most recent values from visual inspections, monitoring systems, electrical test equipment, statistics (e.g., malfunction KPIs, Taylor series, Weibull functions…) and are continuously updated to consider new data sets and analysis methodologies. An example of the ML analytics is the fault probability prediction for transformers which uses DGA information to determine likelihood of a critical fault occurring and timespan in which it is likely to occur.
Make informed capital investment decisions based on real and continuously updated asset condition data. APM provides the necessary asset information, condition and health inputs required for a successful Asset Investment Planning strategy. APM works seamlessly with IPS®AIP but can also integrate with 3rd party AIP software. Ensuring long-range investment planning, helping you balance risk, cost, and performance across your asset portfolio.
Our APM integrates with your existing operational landscape through Web Services and API’s supporting structured data such as CIM as well as unstructured data. Ensuring that your data flows freely to where it needs to be and your teams work from a single source of truth. Our teams have extensive experience and knowledge of the varied IT infrastructure architectures and constraints within the power sector, particularly regarding the segregation of Information Technology (IT) and Operational Technology (OT) networks and the solutions required to securely traverse data across multi-layered barriers.
APM’s what-If simulations are designed to help users understand the potential impacts of different scenarios on asset performance and management. These simulations combine simulation inputs and APM asset analysis indexes with data-driven algorithms to provide preferred investment solutions. They are based on data science algorithms, standardized asset performance calculation logic methods, and a customizable asset lifecycle rule engine. Organisations can see in real time the impact of changes to duty, observed condition, measured condition, reliability, life cycle as well as changes to the financial, safety, environmental and network performance consequences have on an assets health score, consequence of failure, probability of failure and risk value.
Our APM is underpinned by a master asset models and analytical library built specifically for electrical power systems which we call the One Grid Model. It covers asset classes such as protection devices, power transformers, circuit breakers, current transformers, voltage transformers, and substations.
This depth of domain expertise means that the analytics embedded in APM aren’t generic. They reflect decades of accumulated knowledge from the power industry, translated into precise, actionable calculations your teams can trust.
Supported asset analytics include:
Our mobile field application can seamlessly integrate with not only IPS®APM but any APM system. This mobile app equips your technicians with the exact tools they need to inspect, maintain and optimise critical infrastructure on the go, improving data integrity and bridging the gap between your control centre and your frontline teams.
Precision Tracking and Intelligent Diagnostics
By leveraging real-time data and location services, the IPS®MobApp transforms how field crews interact with physical assets. Key capabilities include:
Visualise assets, open work orders, and precise infrastructure locations on an interactive digital map, complete with step-by-step routing to job sites.
When cellular connectivity is available the mobile app will automatically transmit the data capture onsite as its recorded. The offline capability helps eliminate the problem of weak cellular signals in more remote substations, enabling data transmission when internet connectivity is available.
This function helps end users find assets or tasks related to the asset by scanning the asset’s barcode directly. It also helps users to identify any asset better and avoid further mistakes.
View and organise work orders by proximity, drastically reducing travel time and ensuring field crews operate with maximum efficiency.
Capture vital operational data the moment an issue occurs. Technicians can track failure modes and execute root cause analysis directly from their mobile device, feeding critical insights back into your overarching APM strategy.
Selecting the right APM solution that will integrate seamlessly with your existing systems, workflows and processes can be challenging. Careful consideration must be taken with regards to the features, functions, interoperability, asset library, intuitiveness and support to name a few key areas. Whether you’re evaluating APM for the first time or looking to replace a legacy system, our team can walk you through a live demonstration tailored to your organization’s asset portfolio and operational context.
Asset Performance Management is a centralized, data-driven approach to managing the performance, reliability, and health of critical operational assets. Our APM product is specifically designed for the electrical assets used in the power transmission and distribution industry, providing a standardized platform for condition monitoring, predictive maintenance, reliability centered maintenance, risk management, and asset investment planning.
APM enables utility companies to shift from reactive to proactive asset management and helps prevent unplanned outages and reduce downtime. By continuously monitoring asset conditions, probaility of failure (PoF), consequence of failure (CoF) and evaluating assets against each other, teams can prioritize maintenance activities, minimize unplanned outages, reduce planned outage times, extend asset lifespans, and make more informed capital investment decisions.
The APM can integrate with existing systems through several methods helping ensure the integrity of your data. APM utilizes API’s and Web Services technologies, which enables data flow between different 3rd party systems; Our solutions ensure data quality and consistency by collecting, storing, and delivering data for analysis. Additionally, it can integrate with CIM-compliant systems, allowing seamless bi-directional exchange of information with systems such as SCADA, PSS®CAPE, and PSS®E.
The industries that can benefit from the APM solution include Electrical Power Transmission and Distribution, as our solution is specifically designed for managing electrical asset performance in the power sector. Electrical asset-intensive organizations, which is any organization that relies heavily on physical electrical assets, and organizations focused on risk management, can also benefit from the solution. This can range from mining, material refinement, chemical, petrochemicals, transportation and oil and gas industries. The built in asset models, analytics and ability to structure risk matrices based on health scores, failure probabilities, and financial consequences makes it valuable in industries where risk management and strategic investment are crucial.
We provide training through our Knowledge Management platform, as well as on-site and remote training options. Our team of experts work with your organization to ensure that users at all levels can leverage the platform’s full capabilities from day one.
Yes. IPS APM is built on a modular architecture, meaning your organization can begin with core functionality and expand capabilities incrementally as your needs evolve. This approach supports a structured, low-risk path to full APM implementation. It also ensures our APM fits in with existing systems maximizing your initial investments and minimizing overlap of capabilities by only deploying what is needed to bridge the gap in existing solutions.
Your assets are the foundation of your network’s reliability. IPS APM gives you visibility, analytics, and decision-support tools to keep them performing at their best, today and throughout their operational lifecycle. Book a 30-minute demo now.
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