Services BTB Jansky
Resilient technical expertise
for arbitration/trial cases
with high visibility and
high financial risk
At BTB Jansky we follow a strict approach of objective problem definition, stringent and plausible data analysis, appropriate qualification and quantification of results and result presentation and documentation.
40 years of documented technical experience and our quality-assured approach to get to the heart of the subject matter make BTB Jansky a valuable partner for technical expertise in the nuclear and thermal power plant industry.
BTB Jansky holds an outstanding track record for serving as technical experts in high-visibility cases with high dispute values within the power industry.
Customers include Mitsubishi Hitachi Power Systems Europe, Siemens and major insurance companies.
The continuous assessment of process efficiency requires a continuous flow of relevant process data, verified for plausibility regarding the process condition and performance
In order to compare technical and business processes and their key data among a number of (similar) power plants, the data needs to be standardized according to several factors, e.g. plant type, organizational structure, plant age, local legislation, etc.
BTB Jansky owns and maintains a broad customer plant database defining the benchmark (best-practice) plant for numerous technical and business processes and generates recommendations on the measures that need to be taken to reach this benchmark.
The result of the industry-wide benchmarking project is a cost-efficient, technically optimized and safely operating plant. The approach is holistic and recommendations for benchmark are including the following areas:
• Maintenance planning
• Plant organization
• Business processes
Component failure can be caused by incorrect selection of materials, incorrect dimensioning, manufacturing defects or unacceptable loads. If a component has failed or has been damaged, a defect in-depth analysis can identify the reasons for the failure
The mechanics of the damage can be deduced from the point in the component where the break occurred, the characteristics of the material at the cross-section of the break, the geometry of the part that failed, the point where the defect started and the surface of the fracture itself. We have our own scanning electron microscope with connected EDAX for materials chemical analysis. In order to calculate the load parameters that caused the damage, we use pipework programs (static and dynamic analysis) and ANSYS Finite Element (FE) programs. When required, we commission examinations of original material samples under operating conditions (load, temperature).
Knowledge of the causes of the failure or damage is used as a basis for recommendations such as a change in the selection of materials, manufacturing processes, geometry or loading in order to prevent the defect from reoccurring. We take temperature and strain measurements for our customers for the purpose of optimizing components and designing components and systems. With the ANSYS program we can simulate and analyze elastic and elasto-plastic stresses (including contact problems) and calculate temperature fields.
With our philosophy of condition-based maintenance our strategy is that we only replace components in technical systems when they are nearing the end of their service life. In contrast, the procedures for preventive time-orientated maintenance are carried out according to fixed cycles.
The benefits of this policy for you are the resulting cost savings and the assurance that you have taken preemptive action that is likely to prevent operational failure. The transition from a time-oriented to a condition-based maintenance should only take place in combination with a cost-benefit concept. For this purpose the costs of the single maintenance measures should be known as well as the consequences of a possible component failure for plant operation.
- Development of a cost-benefit concept to analyze technical components
- Choice of suitable diagnostic method:
- Vibration measurement
- Process data reconciliation
- Defect analysis
- Generation of resulting maintenance concept